Njoroge et al 2021 Meta-analysis MS script
Gbadamassi G.O. Dossa
This document was last updated on Mon Sep 06 2021 10:26:35
1 Introduction
This R script records Denis et al 2021 meta analysis on effect of fauna and litter mixture on litter decomposition across the globe. The manuscript is entitled “Soil fauna accelerate litter mixture decomposition globally, especially in dry environments” published in Journal of Ecology xxx.
This work is based on conceptual figure
Hypothetical framework of this study
FIGURE 1 Hypothetical framework of this study. Litter mixture species richness and soil fauna are experimentally manipulated to depict their respective effect on litter decomposition (Hypotheses 1 and 2) and how precipitation levels influence those interactions. H1- Multiple species litter will have higher decomposition rate than the component single species litter in the mixture and this effect will increase (up to a saturation level) with an increase of litter species richness in mixture. H2- Inclusion of soil fauna will cause a change in the magnitude and direction of litter decomposition of multiple-species experiments, but not in single-species experiments. H3-With decreased precipitation, soil fauna will have a greater positive impact on the decomposition of litter mixtures.
2 Analysis
2.1 Data input and exploration
2.1.1 Data input
The data used in this study is downloadable from xxx. Let’s import data on .csv format file into R.
2.1.2 Data exploration
## [1] 873 60## observation.number publication.number
## 1 1 1
## 2 2 1
## 3 3 1
## 4 4 1
## 5 5 1
## 6 6 1
## Title
## 1 Interaction between decomposing litter and soil fauna of the Betula ermanii forest floor of the Chanbai Mountains, China
## 2 Interaction between decomposing litter and soil fauna of the Betula ermanii forest floor of the Chanbai Mountains, China
## 3 Interaction between decomposing litter and soil fauna of the Betula ermanii forest floor of the Chanbai Mountains, China
## 4 Interaction between decomposing litter and soil fauna of the Betula ermanii forest floor of the Chanbai Mountains, China
## 5 Interaction between decomposing litter and soil fauna of the Betula ermanii forest floor of the Chanbai Mountains, China
## 6 Interaction between decomposing litter and soil fauna of the Betula ermanii forest floor of the Chanbai Mountains, China
## Authors Data_extracted_by Extraction_date Continent Country
## 1 Li et al 2014 Denis Mburu Njoroge 04/06/2020 Asia China
## 2 Li et al 2014 Denis Mburu Njoroge 04/06/2020 Asia China
## 3 Li et al 2014 Denis Mburu Njoroge 04/06/2020 Asia China
## 4 Li et al 2014 Denis Mburu Njoroge 04/06/2020 Asia China
## 5 Li et al 2014 Denis Mburu Njoroge 04/06/2020 Asia China
## 6 Li et al 2014 Denis Mburu Njoroge 04/06/2020 Asia China
## year_of_experiment Site lat_decimals long_decimals eco_type
## 1 2011 Changbai Mountain (1) 42.03 128.03 Forest
## 2 2011 Changbai Mountain (1) 42.03 128.03 Forest
## 3 2011 Changbai Mountain (1) 42.03 128.03 Forest
## 4 2011 Changbai Mountain (1) 42.03 128.03 Forest
## 5 2011 Changbai Mountain (1) 42.03 128.03 Forest
## 6 2011 Changbai Mountain (1) 42.03 128.03 Forest
## Annual_precip precipitation_levels Annual_temp Regional_climate
## 1 1000 low 6.1 subalpine climate
## 2 1000 low 6.1 subalpine climate
## 3 1000 low 6.1 subalpine climate
## 4 1000 low 6.1 subalpine climate
## 5 1000 low 6.1 subalpine climate
## 6 1000 low 6.1 subalpine climate
## climatic_region SOM Soil.C.. Soil.N. Soil.C.N.ratio Soil.pH
## 1 Temperate N/A 12.3 0.57 N/A 4.96
## 2 Temperate N/A 12.3 0.57 N/A 4.96
## 3 Temperate N/A 12.3 0.57 N/A 4.96
## 4 Temperate N/A 12.3 0.57 N/A 4.96
## 5 Temperate N/A 12.3 0.57 N/A 4.96
## 6 Temperate N/A 12.3 0.57 N/A 4.96
## litterbags_size_cm2 Fauna_available Top_mesh_size Fauna_group
## 1 300 absent 0.1 microfauna
## 2 300 absent 0.1 microfauna
## 3 300 absent 0.1 microfauna
## 4 300 absent 0.1 microfauna
## 5 300 absent 0.1 microfauna
## 6 300 absent 0.1 microfauna
## Bottom_mesh_size Burial_location Time_Days Duration_period spc_abbr
## 1 0.1 Surface 183 medium Be,Ra
## 2 0.1 Surface 183 medium Be,Pk
## 3 0.1 Surface 183 medium Be,Pk,Ra
## 4 0.1 Surface 243 medium Be,Ra
## 5 0.1 Surface 243 medium Be,Pk
## 6 0.1 Surface 243 medium Be,Pk,Ra
## Litter_type Drying_method Oven_temp_C Litter_size sp_div_in_mixture
## 1 Deciduous air dried N/A Whole leaf 2
## 2 Deciduous air dried N/A Whole leaf 2
## 3 Deciduous air dried N/A Whole leaf 3
## 4 Deciduous air dried N/A Whole leaf 2
## 5 Deciduous air dried N/A Whole leaf 2
## 6 Deciduous air dried N/A Whole leaf 3
## species_richness propotions Mixture_mass_ratio n_expected n_observed Lit_Car
## 1 two equal 01:01 6 6 56.84
## 2 two equal 01:01 6 6 50.81
## 3 three equal 01:01:01 6 6 53.84
## 4 two equal 01:01 6 6 56.84
## 5 two equal 01:01 6 6 50.81
## 6 three equal 01:01:01 6 6 53.84
## Lit_Nit Lit_Pho Lit_Lig Lit_Car_Nit_ratio Lit_Lig_Nit_ratio expected_decay_k
## 1 1.26 N/A N/A 45.3 N/A 0.4
## 2 1.43 N/A N/A 35.47 N/A 0.7
## 3 1.39 N/A N/A 38.7 N/A 0.57
## 4 1.26 N/A N/A 45.3 N/A 0.4
## 5 1.43 N/A N/A 35.47 N/A 0.7
## 6 1.39 N/A N/A 38.7 N/A 0.57
## observed_decay_k initial_weight_g Final_weight_g m_expected sd_expected
## 1 0.42 8 6.7504 14.275 2.253331
## 2 0.72 8 5.8368 25.910 2.425119
## 3 0.61 8 6.0608 23.040 4.425144
## 4 0.42 8 6.4896 18.390 3.993269
## 5 0.72 8 5.3024 33.110 5.030378
## 6 0.61 8 5.8208 26.980 3.919528
## m_observed sd_observed obs_per_day exp_per_day sd_obsv_per_day sd_exp_per_day
## 1 15.62 1.62 0.08535519 0.07800546 0.008852459 0.01231328
## 2 27.04 0.80 0.14775956 0.14158470 0.004371585 0.01325201
## 3 24.24 2.42 0.13245902 0.12590164 0.013224044 0.02418111
## 4 18.88 2.67 0.07769547 0.07567901 0.010987654 0.01643321
## 5 33.72 4.24 0.13876543 0.13625514 0.017448560 0.02070114
## 6 27.24 2.57 0.11209877 0.11102881 0.010576132 0.01612975## observation.number publication.number Title Authors
## Min. : 1 Min. : 1.00 Length:873 Length:873
## 1st Qu.:219 1st Qu.:19.00 Class :character Class :character
## Median :437 Median :33.00 Mode :character Mode :character
## Mean :437 Mean :30.56
## 3rd Qu.:655 3rd Qu.:42.00
## Max. :873 Max. :56.00
## Data_extracted_by Extraction_date Continent Country
## Length:873 Length:873 Length:873 Length:873
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## year_of_experiment Site lat_decimals long_decimals
## Min. :1986 Length:873 Min. :-40.80 Min. :-135.39
## 1st Qu.:2007 Class :character 1st Qu.: 27.70 1st Qu.: -52.53
## Median :2010 Mode :character Median : 42.03 Median : 18.40
## Mean :2010 Mean : 33.03 Mean : 28.88
## 3rd Qu.:2014 3rd Qu.: 45.25 3rd Qu.: 116.17
## Max. :2019 Max. : 68.21 Max. : 129.15
## eco_type Annual_precip precipitation_levels Annual_temp
## Length:873 Min. : 300.0 Length:873 Length:873
## Class :character 1st Qu.: 757.0 Class :character Class :character
## Mode :character Median : 878.4 Mode :character Mode :character
## Mean :1158.4
## 3rd Qu.:1374.4
## Max. :3598.0
## Regional_climate climatic_region SOM Soil.C..
## Length:873 Length:873 Length:873 Length:873
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Soil.N. Soil.C.N.ratio Soil.pH litterbags_size_cm2
## Length:873 Length:873 Length:873 Length:873
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Fauna_available Top_mesh_size Fauna_group Bottom_mesh_size
## Length:873 Length:873 Length:873 Length:873
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Burial_location Time_Days Duration_period spc_abbr
## Length:873 Min. : 16.0 Length:873 Length:873
## Class :character 1st Qu.: 124.0 Class :character Class :character
## Mode :character Median : 315.0 Mode :character Mode :character
## Mean : 364.5
## 3rd Qu.: 608.0
## Max. :2558.0
## Litter_type Drying_method Oven_temp_C Litter_size
## Length:873 Length:873 Length:873 Length:873
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## sp_div_in_mixture species_richness propotions Mixture_mass_ratio
## Min. : 2.000 Length:873 Length:873 Length:873
## 1st Qu.: 2.000 Class :character Class :character Class :character
## Median : 2.000 Mode :character Mode :character Mode :character
## Mean : 2.637
## 3rd Qu.: 3.000
## Max. :12.000
## n_expected n_observed Lit_Car Lit_Nit
## Min. : 3.000 Min. : 3.000 Length:873 Length:873
## 1st Qu.: 3.000 1st Qu.: 3.000 Class :character Class :character
## Median : 4.000 Median : 4.000 Mode :character Mode :character
## Mean : 4.636 Mean : 4.636
## 3rd Qu.: 5.000 3rd Qu.: 5.000
## Max. :15.000 Max. :15.000
## Lit_Pho Lit_Lig Lit_Car_Nit_ratio Lit_Lig_Nit_ratio
## Length:873 Length:873 Length:873 Length:873
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## expected_decay_k observed_decay_k initial_weight_g Final_weight_g
## Length:873 Length:873 Min. : 1.000 Min. : 0.2572
## Class :character Class :character 1st Qu.: 2.500 1st Qu.: 2.0056
## Mode :character Mode :character Median : 7.710 Median : 3.6251
## Mean : 8.167 Mean : 4.7929
## 3rd Qu.:10.000 3rd Qu.: 6.4896
## Max. :27.000 Max. :24.9500
## m_expected sd_expected m_observed sd_observed
## Min. :-5.314 Min. : 0.002194 Min. :-3.533 Min. : 0.00254
## 1st Qu.:20.613 1st Qu.: 2.149419 1st Qu.:22.103 1st Qu.: 1.93000
## Median :35.866 Median : 4.760000 Median :36.880 Median : 3.72000
## Mean :36.183 Mean : 6.430666 Mean :37.394 Mean : 5.55205
## 3rd Qu.:50.000 3rd Qu.: 9.630171 3rd Qu.:50.143 3rd Qu.: 7.19000
## Max. :99.483 Max. :26.482044 Max. :98.613 Max. :45.56000
## obs_per_day exp_per_day sd_obsv_per_day sd_exp_per_day
## Min. :-0.05698 Min. :-0.08571 Min. :0.0000023 Min. :0.000002
## 1st Qu.: 0.07117 1st Qu.: 0.06717 1st Qu.:0.0056452 1st Qu.:0.005945
## Median : 0.10795 Median : 0.10314 Median :0.0132677 Median :0.015404
## Mean : 0.15803 Mean : 0.15109 Mean :0.0336520 Mean :0.039098
## 3rd Qu.: 0.19304 3rd Qu.: 0.18337 3rd Qu.:0.0316253 3rd Qu.:0.048719
## Max. : 0.98062 Max. : 0.93478 Max. :0.7610000 Max. :0.595390## [1] "observation.number" "publication.number" "Title"
## [4] "Authors" "Data_extracted_by" "Extraction_date"
## [7] "Continent" "Country" "year_of_experiment"
## [10] "Site" "lat_decimals" "long_decimals"
## [13] "eco_type" "Annual_precip" "precipitation_levels"
## [16] "Annual_temp" "Regional_climate" "climatic_region"
## [19] "SOM" "Soil.C.." "Soil.N."
## [22] "Soil.C.N.ratio" "Soil.pH" "litterbags_size_cm2"
## [25] "Fauna_available" "Top_mesh_size" "Fauna_group"
## [28] "Bottom_mesh_size" "Burial_location" "Time_Days"
## [31] "Duration_period" "spc_abbr" "Litter_type"
## [34] "Drying_method" "Oven_temp_C" "Litter_size"
## [37] "sp_div_in_mixture" "species_richness" "propotions"
## [40] "Mixture_mass_ratio" "n_expected" "n_observed"
## [43] "Lit_Car" "Lit_Nit" "Lit_Pho"
## [46] "Lit_Lig" "Lit_Car_Nit_ratio" "Lit_Lig_Nit_ratio"
## [49] "expected_decay_k" "observed_decay_k" "initial_weight_g"
## [52] "Final_weight_g" "m_expected" "sd_expected"
## [55] "m_observed" "sd_observed" "obs_per_day"
## [58] "exp_per_day" "sd_obsv_per_day" "sd_exp_per_day"2.1.2.1 Studies geograpical distribution
Before plotting the distribution of the studies site, let’s load the libraries needed to do so.
## Linking to GEOS 3.9.0, GDAL 3.2.1, PROJ 7.2.1## ### Welcome to rworldmap ##### For a short introduction type : vignette('rworldmap')## rgeos version: 0.5-5, (SVN revision 640)
## GEOS runtime version: 3.8.0-CAPI-1.13.1
## Linking to sp version: 1.4-5
## Polygon checking: TRUE## Loading required package: ggplot2## Google's Terms of Service: https://cloud.google.com/maps-platform/terms/.## Please cite ggmap if you use it! See citation("ggmap") for details.Let’s now plot the globe map.
Then, we need to create a base plot with gpplot2 package.
Add map to base plot
Strip the map down so it looks super clean and beautiful
Add simple data points to map. We need to first know the unqiue points as studies has replicates.
## [1] "observation.number" "publication.number" "Title"
## [4] "Authors" "Data_extracted_by" "Extraction_date"
## [7] "Continent" "Country" "year_of_experiment"
## [10] "Site" "lat_decimals" "long_decimals"
## [13] "eco_type" "Annual_precip" "precipitation_levels"
## [16] "Annual_temp" "Regional_climate" "climatic_region"
## [19] "SOM" "Soil.C.." "Soil.N."
## [22] "Soil.C.N.ratio" "Soil.pH" "litterbags_size_cm2"
## [25] "Fauna_available" "Top_mesh_size" "Fauna_group"
## [28] "Bottom_mesh_size" "Burial_location" "Time_Days"
## [31] "Duration_period" "spc_abbr" "Litter_type"
## [34] "Drying_method" "Oven_temp_C" "Litter_size"
## [37] "sp_div_in_mixture" "species_richness" "propotions"
## [40] "Mixture_mass_ratio" "n_expected" "n_observed"
## [43] "Lit_Car" "Lit_Nit" "Lit_Pho"
## [46] "Lit_Lig" "Lit_Car_Nit_ratio" "Lit_Lig_Nit_ratio"
## [49] "expected_decay_k" "observed_decay_k" "initial_weight_g"
## [52] "Final_weight_g" "m_expected" "sd_expected"
## [55] "m_observed" "sd_observed" "obs_per_day"
## [58] "exp_per_day" "sd_obsv_per_day" "sd_exp_per_day"## [1] "China" "USA" "French Guiana" "Ecuador"
## [5] "Belgium" "Sweden" "Burkina Faso" "Argentina"
## [9] "Canada" "France" "Uganda" "Korea"
## [13] "Spain " "Sri lanka" "Austria" "Venezuela"
## [17] "Brazil" "Bhutan" "Iran" "Italy"## [1] "Changbai Mountain (1)"
## [2] "Qingyuan Forest"
## [3] "Changbai Mountains (2)"
## [4] "North Carolina (1)"
## [5] "Paracou"
## [6] "Reserva Biol´ogica San Francisco"
## [7] "W Belgian Ardennes"
## [8] "Changbai Mountain (3)"
## [9] "Jinghai County"
## [10] "North Carolina (2)"
## [11] "Taizi Mountain National Forest Park"
## [12] "Abisko (1)"
## [13] "Huangshan Mountain"
## [14] "Boni village"
## [15] "Parque Nacional Lanín"
## [16] "Huitong Experimental station "
## [17] "British colombia"
## [18] "Haute-Normandie"
## [19] "Harrisson county"
## [20] "Leshan region"
## [21] "pristine Nyungwe"
## [22] "Seoul National University Forest oak stand"
## [23] "Seoul National University Forest mixed stand"
## [24] "Seoul National University Korean pine stand"
## [25] "Dinghushan Forest Experimental Station"
## [26] "Collada de Montalto"
## [27] "Liao River Source Nature Reserve"
## [28] "Observatoire de Haute Provence"
## [29] "Zigui County"
## [30] "Central Sri Lanka"
## [31] "Daqinggou Ecological Station"
## [32] "Kaserstattalm"
## [33] "Minnesota"
## [34] "Hornavan and Uddjaure small islands with shrubs removal"
## [35] "Hornavan and Uddjaure small islands with shrubs "
## [36] "Hornavan and Uddjaure medium-size islandss with shrubs removal"
## [37] "Hornavan and Uddjaure medium-size islands with shrubs "
## [38] "Hornavan and Uddjaure large islands with shrubs removal"
## [39] "Hornavan and Uddjaure large islands with shrubs "
## [40] "Flysch and Molasse "
## [41] "Kreisbach Spruce"
## [42] "Kreisbach mixed "
## [43] "Kreisbach Beech forest stand"
## [44] "Frauschereck spruce forest stand"
## [45] "Mapire river floodplain"
## [46] "Zedelgem"
## [47] "Guangxi Youyiguan Forest Ecosystem Research Station"
## [48] "Cachoeira nature reserve"
## [49] "Bajo"
## [50] "Hyrcanian forests"
## [51] "Xainza Alpine Steppe and Wetland Ecosystem Observation Station "
## [52] "Fenglin Natural Reserve"
## [53] "Tiantong National Forest park"
## [54] "Miyaluo Experimental Forest"
## [55] "Abisko (2)"
## [56] "Dinghushan Biosphere Reserve"
## [57] "Castel Volturno Nature Reserve"
## [58] "Dagujia forestry station"
## [59] "Cuesta Blanca"
## [60] "Hulun Buir City"
## [61] "Heshan National Field Research Station of Forest Ecosystems"
## [62] "Duolun County"## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
## [26] 26 27 28 29 30 31 32 33 34 35 36 38 39 40 41 42 43 44 45 46 47 48 49 50 51
## [51] 52 53 54 55 56Construct a dataframe with a summary statistics which is the number of samples per observation
##
## Attaching package: 'plyr'## The following object is masked from 'package:maps':
##
## ozone## Country
## 1 Argentina
## 2 Argentina
## 3 Argentina
## 4 Austria
## 5 Austria
## 6 Austria
## 7 Austria
## 8 Austria
## 9 Austria
## 10 Austria
## 11 Austria
## 12 Belgium
## 13 Belgium
## 14 Bhutan
## 15 Brazil
## 16 Burkina Faso
## 17 Canada
## 18 China
## 19 China
## 20 China
## 21 China
## 22 China
## 23 China
## 24 China
## 25 China
## 26 China
## 27 China
## 28 China
## 29 China
## 30 China
## 31 China
## 32 China
## 33 China
## 34 China
## 35 China
## 36 China
## 37 China
## 38 China
## 39 China
## 40 China
## 41 China
## 42 China
## 43 Ecuador
## 44 France
## 45 France
## 46 French Guiana
## 47 Iran
## 48 Italy
## 49 Korea
## 50 Korea
## 51 Korea
## 52 Spain
## 53 Sri lanka
## 54 Sweden
## 55 Sweden
## 56 Sweden
## 57 Sweden
## 58 Sweden
## 59 Sweden
## 60 Sweden
## 61 Sweden
## 62 Uganda
## 63 USA
## 64 USA
## 65 USA
## 66 USA
## 67 USA
## 68 Venezuela
## Site
## 1 Cuesta Blanca
## 2 Parque Nacional Lanín
## 3 Parque Nacional Lanín
## 4 Flysch and Molasse
## 5 Flysch and Molasse
## 6 Flysch and Molasse
## 7 Frauschereck spruce forest stand
## 8 Kaserstattalm
## 9 Kreisbach Beech forest stand
## 10 Kreisbach mixed
## 11 Kreisbach Spruce
## 12 W Belgian Ardennes
## 13 Zedelgem
## 14 Bajo
## 15 Cachoeira nature reserve
## 16 Boni village
## 17 British colombia
## 18 Changbai Mountain (1)
## 19 Changbai Mountain (3)
## 20 Changbai Mountains (2)
## 21 Dagujia forestry station
## 22 Daqinggou Ecological Station
## 23 Daqinggou Ecological Station
## 24 Dinghushan Biosphere Reserve
## 25 Dinghushan Forest Experimental Station
## 26 Duolun County
## 27 Fenglin Natural Reserve
## 28 Guangxi Youyiguan Forest Ecosystem Research Station
## 29 Heshan National Field Research Station of Forest Ecosystems
## 30 Huangshan Mountain
## 31 Huitong Experimental station
## 32 Hulun Buir City
## 33 Jinghai County
## 34 Jinghai County
## 35 Leshan region
## 36 Liao River Source Nature Reserve
## 37 Miyaluo Experimental Forest
## 38 Qingyuan Forest
## 39 Taizi Mountain National Forest Park
## 40 Tiantong National Forest park
## 41 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 42 Zigui County
## 43 Reserva Biol´ogica San Francisco
## 44 Haute-Normandie
## 45 Observatoire de Haute Provence
## 46 Paracou
## 47 Hyrcanian forests
## 48 Castel Volturno Nature Reserve
## 49 Seoul National University Forest mixed stand
## 50 Seoul National University Forest oak stand
## 51 Seoul National University Korean pine stand
## 52 Collada de Montalto
## 53 Central Sri Lanka
## 54 Abisko (1)
## 55 Abisko (2)
## 56 Hornavan and Uddjaure large islands with shrubs
## 57 Hornavan and Uddjaure large islands with shrubs removal
## 58 Hornavan and Uddjaure medium-size islands with shrubs
## 59 Hornavan and Uddjaure medium-size islandss with shrubs removal
## 60 Hornavan and Uddjaure small islands with shrubs
## 61 Hornavan and Uddjaure small islands with shrubs removal
## 62 pristine Nyungwe
## 63 Harrisson county
## 64 Minnesota
## 65 Minnesota
## 66 North Carolina (1)
## 67 North Carolina (2)
## 68 Mapire river floodplain
## long_decimals lat_decimals climatic_region eco_type N
## 1 -64.35000 -31.30000 Sub-tropics Forest 26
## 2 -71.30000 -40.80000 Temperate Forest 4
## 3 -71.30000 -40.80000 Temperate Shrubland 4
## 4 13.18360 48.05500 Temperate Forest 1
## 5 15.39460 48.05500 Temperate Forest 2
## 6 15.39540 48.05500 Temperate Forest 1
## 7 13.18360 48.05270 Temperate Forest 18
## 8 11.29000 47.12500 Temperate Grassland 12
## 9 15.39540 48.05500 Temperate Forest 6
## 10 15.39490 48.05500 Temperate Forest 6
## 11 15.39460 48.05500 Temperate Forest 6
## 12 4.24000 50.00100 Temperate Forest 6
## 13 3.70000 51.90000 Temperate Plantation 15
## 14 89.15000 27.70000 Sub-tropics Forest 15
## 15 -48.68000 -25.25000 Sub-tropics Forest 48
## 16 -3.23000 11.30000 Tropics Shrubland 6
## 17 -135.39000 53.40000 Temperate Forest 10
## 18 128.03000 42.03000 Temperate Forest 24
## 19 128.30000 42.03000 Temperate Forest 24
## 20 128.50000 42.24000 Temperate Forest 16
## 21 125.48100 52.45210 Temperate Forest 10
## 22 122.21000 42.58000 Temperate Forest 10
## 23 122.21000 42.58000 Temperate Grassland 4
## 24 112.10000 23.10000 Tropics Forest 27
## 25 112.10000 23.10000 Sub-tropics Forest 7
## 26 116.17000 42.02000 Temperate Grassland 8
## 27 129.15000 48.12000 Temperate Forest 6
## 28 106.86000 22.05000 Sub-tropics Plantation 1
## 29 112.50000 22.34000 Tropics Plantation 44
## 30 118.10000 30.10000 Sub-tropics Forest 8
## 31 110.08000 27.09000 Sub-tropics Plantation 6
## 32 119.58000 49.20000 Temperate Grassland 12
## 33 117.84600 38.54400 Temperate Shrubland 14
## 34 117.84600 42.03000 Temperate Shrubland 1
## 35 103.36000 29.37000 Sub-tropics Plantation 33
## 36 118.37000 41.21000 Temperate Forest 8
## 37 2.35000 31.35000 Sub-tropics Forest 3
## 38 124.54000 41.51000 Temperate Forest 18
## 39 113.03000 31.02000 Sub-tropics Plantation 12
## 40 121.39000 29.52000 Sub-tropics Forest 27
## 41 88.42000 30.57000 Sub-tropics Grassland 11
## 42 111.18000 31.11000 Sub-tropics Plantation 4
## 43 -79.50000 -3.58000 Tropics Forest 3
## 44 1.37000 49.26000 Temperate Forest 6
## 45 5.42642 43.56115 Temperate Forest 22
## 46 -52.53000 5.18000 Tropics Forest 28
## 47 53.71300 36.16640 Temperate Plantation 5
## 48 13.33000 40.57000 Temperate Shrubland 4
## 49 127.16450 38.19260 Sub-tropics Plantation 12
## 50 127.16450 38.19260 Sub-tropics Plantation 12
## 51 127.16450 38.19260 Sub-tropics Plantation 12
## 52 1.11150 42.37470 Temperate Grassland 6
## 53 80.48000 7.27000 Tropics Grassland 2
## 54 18.49000 68.21000 Temperate Shrubland 24
## 55 18.40000 68.21000 Temperate Forest 20
## 56 17.55000 66.09000 Temperate Forest 4
## 57 17.55000 66.09000 Temperate Forest 4
## 58 17.55000 66.09000 Temperate Forest 4
## 59 17.55000 66.09000 Temperate Forest 4
## 60 17.55000 66.09000 Temperate Forest 4
## 61 17.55000 66.09000 Temperate Forest 4
## 62 29.30000 -2.15000 Tropics Forest 5
## 63 -89.01790 30.43210 Sub-tropics Grassland 6
## 64 -93.10000 42.25000 Temperate Forest 6
## 65 -93.10000 45.25000 Temperate Forest 142
## 66 -83.25000 35.03000 Temperate Forest 2
## 67 -79.01930 35.75960 Temperate Shrubland 3
## 68 -64.42000 7.44000 Tropics Forest 5Now, you the above information, to built a customized map that shows studies geographical distribution
2.1.2.2 Exclusion of negative mass loss points
Going back to the data exploration, some values are negative in m_expected and in m_observed. We confirmed with relevant authors about the accuracy of these data. The authors confirm their accuracy, thus we deleted them from our next analysis.
## [1] 873 60## [1] 868 60## [1] 867 60Check with summary and see if the negative values are removed
## observation.number publication.number Title Authors
## Min. : 1.0 Min. : 1.00 Length:867 Length:867
## 1st Qu.:217.5 1st Qu.:19.00 Class :character Class :character
## Median :438.0 Median :33.00 Mode :character Mode :character
## Mean :437.1 Mean :30.54
## 3rd Qu.:656.5 3rd Qu.:43.00
## Max. :873.0 Max. :56.00
## Data_extracted_by Extraction_date Continent Country
## Length:867 Length:867 Length:867 Length:867
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## year_of_experiment Site lat_decimals long_decimals
## Min. :1986 Length:867 Min. :-40.80 Min. :-135.39
## 1st Qu.:2007 Class :character 1st Qu.: 27.70 1st Qu.: -52.53
## Median :2010 Mode :character Median : 42.03 Median : 18.40
## Mean :2010 Mean : 32.96 Mean : 29.72
## 3rd Qu.:2014 3rd Qu.: 45.25 3rd Qu.: 117.85
## Max. :2019 Max. : 68.21 Max. : 129.15
## eco_type Annual_precip precipitation_levels Annual_temp
## Length:867 Min. : 300 Length:867 Length:867
## Class :character 1st Qu.: 757 Class :character Class :character
## Mode :character Median :1000 Mode :character Mode :character
## Mean :1161
## 3rd Qu.:1374
## Max. :3598
## Regional_climate climatic_region SOM Soil.C..
## Length:867 Length:867 Length:867 Length:867
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Soil.N. Soil.C.N.ratio Soil.pH litterbags_size_cm2
## Length:867 Length:867 Length:867 Length:867
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Fauna_available Top_mesh_size Fauna_group Bottom_mesh_size
## Length:867 Length:867 Length:867 Length:867
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Burial_location Time_Days Duration_period spc_abbr
## Length:867 Min. : 16.0 Length:867 Length:867
## Class :character 1st Qu.: 126.0 Class :character Class :character
## Mode :character Median : 315.0 Mode :character Mode :character
## Mean : 366.6
## 3rd Qu.: 608.0
## Max. :2558.0
## Litter_type Drying_method Oven_temp_C Litter_size
## Length:867 Length:867 Length:867 Length:867
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## sp_div_in_mixture species_richness propotions Mixture_mass_ratio
## Min. : 2.000 Length:867 Length:867 Length:867
## 1st Qu.: 2.000 Class :character Class :character Class :character
## Median : 2.000 Mode :character Mode :character Mode :character
## Mean : 2.641
## 3rd Qu.: 3.000
## Max. :12.000
## n_expected n_observed Lit_Car Lit_Nit
## Min. : 3.000 Min. : 3.000 Length:867 Length:867
## 1st Qu.: 3.000 1st Qu.: 3.000 Class :character Class :character
## Median : 4.000 Median : 4.000 Mode :character Mode :character
## Mean : 4.647 Mean : 4.647
## 3rd Qu.: 5.000 3rd Qu.: 5.000
## Max. :15.000 Max. :15.000
## Lit_Pho Lit_Lig Lit_Car_Nit_ratio Lit_Lig_Nit_ratio
## Length:867 Length:867 Length:867 Length:867
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## expected_decay_k observed_decay_k initial_weight_g Final_weight_g
## Length:867 Length:867 Min. : 1.000 Min. : 0.2572
## Class :character Class :character 1st Qu.: 2.500 1st Qu.: 2.0013
## Mode :character Mode :character Median : 7.720 Median : 3.6320
## Mean : 8.207 Mean : 4.8085
## 3rd Qu.:10.000 3rd Qu.: 6.5190
## Max. :27.000 Max. :24.9500
## m_expected sd_expected m_observed sd_observed
## Min. : 0.5291 Min. : 0.002194 Min. : 0.60 Min. : 0.00254
## 1st Qu.:21.1676 1st Qu.: 2.140530 1st Qu.:22.58 1st Qu.: 1.91600
## Median :36.0400 Median : 4.754280 Median :37.00 Median : 3.67000
## Mean :36.4417 Mean : 6.435606 Mean :37.63 Mean : 5.51961
## 3rd Qu.:50.0795 3rd Qu.: 9.704140 3rd Qu.:50.36 3rd Qu.: 7.18500
## Max. :99.4833 Max. :26.482044 Max. :98.61 Max. :45.56000
## obs_per_day exp_per_day sd_obsv_per_day sd_exp_per_day
## Min. :0.003704 Min. :0.008025 Min. :0.0000023 Min. :0.000002
## 1st Qu.:0.071273 1st Qu.:0.067657 1st Qu.:0.0055548 1st Qu.:0.005941
## Median :0.108082 Median :0.103288 Median :0.0132240 Median :0.015000
## Mean :0.158814 Mean :0.152267 Mean :0.0327419 Mean :0.038731
## 3rd Qu.:0.195425 3rd Qu.:0.183516 3rd Qu.:0.0306075 3rd Qu.:0.047510
## Max. :0.980625 Max. :0.934781 Max. :0.7610000 Max. :0.595390## [1] "observation.number" "publication.number" "Title"
## [4] "Authors" "Data_extracted_by" "Extraction_date"
## [7] "Continent" "Country" "year_of_experiment"
## [10] "Site" "lat_decimals" "long_decimals"
## [13] "eco_type" "Annual_precip" "precipitation_levels"
## [16] "Annual_temp" "Regional_climate" "climatic_region"
## [19] "SOM" "Soil.C.." "Soil.N."
## [22] "Soil.C.N.ratio" "Soil.pH" "litterbags_size_cm2"
## [25] "Fauna_available" "Top_mesh_size" "Fauna_group"
## [28] "Bottom_mesh_size" "Burial_location" "Time_Days"
## [31] "Duration_period" "spc_abbr" "Litter_type"
## [34] "Drying_method" "Oven_temp_C" "Litter_size"
## [37] "sp_div_in_mixture" "species_richness" "propotions"
## [40] "Mixture_mass_ratio" "n_expected" "n_observed"
## [43] "Lit_Car" "Lit_Nit" "Lit_Pho"
## [46] "Lit_Lig" "Lit_Car_Nit_ratio" "Lit_Lig_Nit_ratio"
## [49] "expected_decay_k" "observed_decay_k" "initial_weight_g"
## [52] "Final_weight_g" "m_expected" "sd_expected"
## [55] "m_observed" "sd_observed" "obs_per_day"
## [58] "exp_per_day" "sd_obsv_per_day" "sd_exp_per_day"Read some columns as numeric.
2.1.2.3 Convert to numeric variables
## Warning: NAs introduced by coercion
## Warning: NAs introduced by coercion
## Warning: NAs introduced by coercion
## Warning: NAs introduced by coercion
## Warning: NAs introduced by coercion
## Warning: NAs introduced by coercion
## Warning: NAs introduced by coercion
## Warning: NAs introduced by coercionHere we subset the columns that we need the first 6 columns are not useful for subsequent analyses.
## 'data.frame': 867 obs. of 54 variables:
## $ Continent : chr "Asia" "Asia" "Asia" "Asia" ...
## $ Country : chr "China" "China" "China" "China" ...
## $ year_of_experiment : int 2011 2011 2011 2011 2011 2011 2011 2011 2011 2011 ...
## $ Site : chr "Changbai Mountain (1)" "Changbai Mountain (1)" "Changbai Mountain (1)" "Changbai Mountain (1)" ...
## $ lat_decimals : num 42 42 42 42 42 ...
## $ long_decimals : num 128 128 128 128 128 ...
## $ eco_type : chr "Forest" "Forest" "Forest" "Forest" ...
## $ Annual_precip : num 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 ...
## $ precipitation_levels: chr "low" "low" "low" "low" ...
## $ Annual_temp : chr "6.1" "6.1" "6.1" "6.1" ...
## $ Regional_climate : chr "subalpine climate" "subalpine climate" "subalpine climate" "subalpine climate" ...
## $ climatic_region : chr "Temperate" "Temperate" "Temperate" "Temperate" ...
## $ SOM : chr "N/A" "N/A" "N/A" "N/A" ...
## $ Soil.C.. : chr "12.3" "12.3" "12.3" "12.3" ...
## $ Soil.N. : chr "0.57" "0.57" "0.57" "0.57" ...
## $ Soil.C.N.ratio : chr "N/A" "N/A" "N/A" "N/A" ...
## $ Soil.pH : chr "4.96" "4.96" "4.96" "4.96" ...
## $ litterbags_size_cm2 : chr "300" "300" "300" "300" ...
## $ Fauna_available : chr "absent" "absent" "absent" "absent" ...
## $ Top_mesh_size : chr "0.1" "0.1" "0.1" "0.1" ...
## $ Fauna_group : chr "microfauna" "microfauna" "microfauna" "microfauna" ...
## $ Bottom_mesh_size : chr "0.1" "0.1" "0.1" "0.1" ...
## $ Burial_location : chr "Surface " "Surface " "Surface " "Surface " ...
## $ Time_Days : num 183 183 183 243 243 243 304 304 304 365 ...
## $ Duration_period : chr "medium" "medium" "medium" "medium" ...
## $ spc_abbr : chr "Be,Ra" "Be,Pk" "Be,Pk,Ra" "Be,Ra" ...
## $ Litter_type : chr "Deciduous" "Deciduous" "Deciduous" "Deciduous" ...
## $ Drying_method : chr "air dried" "air dried" "air dried" "air dried" ...
## $ Oven_temp_C : chr "N/A" "N/A" "N/A" "N/A" ...
## $ Litter_size : chr "Whole leaf" "Whole leaf" "Whole leaf" "Whole leaf" ...
## $ sp_div_in_mixture : int 2 2 3 2 2 3 2 2 3 2 ...
## $ species_richness : chr "two" "two" "three" "two" ...
## $ propotions : chr "equal" "equal" "equal" "equal" ...
## $ Mixture_mass_ratio : chr "01:01" "01:01" "01:01:01" "01:01" ...
## $ n_expected : int 6 6 6 6 6 6 6 6 6 6 ...
## $ n_observed : int 6 6 6 6 6 6 6 6 6 6 ...
## $ Lit_Car : num 56.8 50.8 53.8 56.8 50.8 ...
## $ Lit_Nit : num 1.26 1.43 1.39 1.26 1.43 1.39 1.26 1.43 1.39 1.26 ...
## $ Lit_Pho : num NA NA NA NA NA NA NA NA NA NA ...
## $ Lit_Lig : num NA NA NA NA NA NA NA NA NA NA ...
## $ Lit_Car_Nit_ratio : num 45.3 35.5 38.7 45.3 35.5 ...
## $ Lit_Lig_Nit_ratio : num NA NA NA NA NA NA NA NA NA NA ...
## $ expected_decay_k : num 0.4 0.7 0.57 0.4 0.7 0.57 0.4 0.7 0.57 0.4 ...
## $ observed_decay_k : num 0.42 0.72 0.61 0.42 0.72 0.61 0.42 0.72 0.61 0.42 ...
## $ initial_weight_g : num 8 8 8 8 8 8 8 8 8 8 ...
## $ Final_weight_g : num 6.75 5.84 6.06 6.49 5.3 ...
## $ m_expected : num 14.3 25.9 23 18.4 33.1 ...
## $ sd_expected : num 2.25 2.43 4.43 3.99 5.03 ...
## $ m_observed : num 15.6 27 24.2 18.9 33.7 ...
## $ sd_observed : num 1.62 0.8 2.42 2.67 4.24 2.57 3.28 4.43 1.49 5.02 ...
## $ obs_per_day : num 0.0854 0.1478 0.1325 0.0777 0.1388 ...
## $ exp_per_day : num 0.078 0.1416 0.1259 0.0757 0.1363 ...
## $ sd_obsv_per_day : num 0.00885 0.00437 0.01322 0.01099 0.01745 ...
## $ sd_exp_per_day : num 0.0123 0.0133 0.0242 0.0164 0.0207 ...## Continent Country year_of_experiment Site
## Length:867 Length:867 Min. :1986 Length:867
## Class :character Class :character 1st Qu.:2007 Class :character
## Mode :character Mode :character Median :2010 Mode :character
## Mean :2010
## 3rd Qu.:2014
## Max. :2019
##
## lat_decimals long_decimals eco_type Annual_precip
## Min. :-40.80 Min. :-135.39 Length:867 Min. : 300
## 1st Qu.: 27.70 1st Qu.: -52.53 Class :character 1st Qu.: 757
## Median : 42.03 Median : 18.40 Mode :character Median :1000
## Mean : 32.96 Mean : 29.72 Mean :1161
## 3rd Qu.: 45.25 3rd Qu.: 117.85 3rd Qu.:1374
## Max. : 68.21 Max. : 129.15 Max. :3598
##
## precipitation_levels Annual_temp Regional_climate climatic_region
## Length:867 Length:867 Length:867 Length:867
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## SOM Soil.C.. Soil.N. Soil.C.N.ratio
## Length:867 Length:867 Length:867 Length:867
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## Soil.pH litterbags_size_cm2 Fauna_available Top_mesh_size
## Length:867 Length:867 Length:867 Length:867
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## Fauna_group Bottom_mesh_size Burial_location Time_Days
## Length:867 Length:867 Length:867 Min. : 16.0
## Class :character Class :character Class :character 1st Qu.: 126.0
## Mode :character Mode :character Mode :character Median : 315.0
## Mean : 366.6
## 3rd Qu.: 608.0
## Max. :2558.0
##
## Duration_period spc_abbr Litter_type Drying_method
## Length:867 Length:867 Length:867 Length:867
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## Oven_temp_C Litter_size sp_div_in_mixture species_richness
## Length:867 Length:867 Min. : 2.000 Length:867
## Class :character Class :character 1st Qu.: 2.000 Class :character
## Mode :character Mode :character Median : 2.000 Mode :character
## Mean : 2.641
## 3rd Qu.: 3.000
## Max. :12.000
##
## propotions Mixture_mass_ratio n_expected n_observed
## Length:867 Length:867 Min. : 3.000 Min. : 3.000
## Class :character Class :character 1st Qu.: 3.000 1st Qu.: 3.000
## Mode :character Mode :character Median : 4.000 Median : 4.000
## Mean : 4.647 Mean : 4.647
## 3rd Qu.: 5.000 3rd Qu.: 5.000
## Max. :15.000 Max. :15.000
##
## Lit_Car Lit_Nit Lit_Pho Lit_Lig
## Min. :32.52 Min. :0.137 Min. :0.02000 Min. : 3.55
## 1st Qu.:46.90 1st Qu.:0.866 1st Qu.:0.05725 1st Qu.: 13.30
## Median :49.60 Median :1.113 Median :0.10320 Median : 25.37
## Mean :49.17 Mean :1.152 Mean :0.15655 Mean : 45.68
## 3rd Qu.:52.63 3rd Qu.:1.355 3rd Qu.:0.19000 3rd Qu.: 39.66
## Max. :57.94 Max. :3.190 Max. :1.71500 Max. :383.25
## NA's :273 NA's :102 NA's :305 NA's :583
## Lit_Car_Nit_ratio Lit_Lig_Nit_ratio expected_decay_k observed_decay_k
## Min. : 16.20 Min. : 5.74 Min. :0.0400 Min. :0.030
## 1st Qu.: 38.34 1st Qu.: 12.72 1st Qu.:0.5155 1st Qu.:0.495
## Median : 48.15 Median : 35.36 Median :1.3000 Median :2.000
## Mean : 52.34 Mean : 31.64 Mean :1.5289 Mean :2.152
## 3rd Qu.: 61.91 3rd Qu.: 40.96 3rd Qu.:1.8500 3rd Qu.:3.143
## Max. :136.33 Max. :101.19 Max. :5.6000 Max. :6.995
## NA's :283 NA's :633 NA's :596 NA's :596
## initial_weight_g Final_weight_g m_expected sd_expected
## Min. : 1.000 Min. : 0.2572 Min. : 0.5291 Min. : 0.002194
## 1st Qu.: 2.500 1st Qu.: 2.0013 1st Qu.:21.1676 1st Qu.: 2.140530
## Median : 7.720 Median : 3.6320 Median :36.0400 Median : 4.754280
## Mean : 8.207 Mean : 4.8085 Mean :36.4417 Mean : 6.435606
## 3rd Qu.:10.000 3rd Qu.: 6.5190 3rd Qu.:50.0795 3rd Qu.: 9.704140
## Max. :27.000 Max. :24.9500 Max. :99.4833 Max. :26.482044
##
## m_observed sd_observed obs_per_day exp_per_day
## Min. : 0.60 Min. : 0.00254 Min. :0.003704 Min. :0.008025
## 1st Qu.:22.58 1st Qu.: 1.91600 1st Qu.:0.071273 1st Qu.:0.067657
## Median :37.00 Median : 3.67000 Median :0.108082 Median :0.103288
## Mean :37.63 Mean : 5.51961 Mean :0.158814 Mean :0.152267
## 3rd Qu.:50.36 3rd Qu.: 7.18500 3rd Qu.:0.195425 3rd Qu.:0.183516
## Max. :98.61 Max. :45.56000 Max. :0.980625 Max. :0.934781
##
## sd_obsv_per_day sd_exp_per_day
## Min. :0.0000023 Min. :0.000002
## 1st Qu.:0.0055548 1st Qu.:0.005941
## Median :0.0132240 Median :0.015000
## Mean :0.0327419 Mean :0.038731
## 3rd Qu.:0.0306075 3rd Qu.:0.047510
## Max. :0.7610000 Max. :0.595390
## ## [1] "Continent" "Country" "year_of_experiment"
## [4] "Site" "lat_decimals" "long_decimals"
## [7] "eco_type" "Annual_precip" "precipitation_levels"
## [10] "Annual_temp" "Regional_climate" "climatic_region"
## [13] "SOM" "Soil.C.." "Soil.N."
## [16] "Soil.C.N.ratio" "Soil.pH" "litterbags_size_cm2"
## [19] "Fauna_available" "Top_mesh_size" "Fauna_group"
## [22] "Bottom_mesh_size" "Burial_location" "Time_Days"
## [25] "Duration_period" "spc_abbr" "Litter_type"
## [28] "Drying_method" "Oven_temp_C" "Litter_size"
## [31] "sp_div_in_mixture" "species_richness" "propotions"
## [34] "Mixture_mass_ratio" "n_expected" "n_observed"
## [37] "Lit_Car" "Lit_Nit" "Lit_Pho"
## [40] "Lit_Lig" "Lit_Car_Nit_ratio" "Lit_Lig_Nit_ratio"
## [43] "expected_decay_k" "observed_decay_k" "initial_weight_g"
## [46] "Final_weight_g" "m_expected" "sd_expected"
## [49] "m_observed" "sd_observed" "obs_per_day"
## [52] "exp_per_day" "sd_obsv_per_day" "sd_exp_per_day"2.1.2.4 Convert some variables to factors
Read some variables as a factor
## [1] "Argentina" "Austria" "Belgium" "Bhutan"
## [5] "Brazil" "Burkina Faso" "Canada" "China"
## [9] "Ecuador" "France" "French Guiana" "Iran"
## [13] "Italy" "Korea" "Spain " "Sri lanka"
## [17] "Sweden" "Uganda" "USA" "Venezuela"## [1] "absent" "present"## [1] " forb, evergreen and grass" " grass and forb"
## [3] " shrub and forb" " shrub forb and evergreen"
## [5] " shrub, forb and grass" "climbers and woody plants"
## [7] "Deciduous" "Deciduous and evergreen "
## [9] "Deciduous and herbaceous" "Deciduous herbecious and shrub"
## [11] "Deciduous shrub and forb" "evergreen"
## [13] "evergreen and fern" "evergreen and forb"
## [15] "evergreen and grass" "evergreen and herbaceous"
## [17] "evergreen and legume" "forb and grass"
## [19] "forbs" "grass "
## [21] "grass and Forb" "grass and herbaceous"
## [23] "grass and legume" "grass, shrub and Forb"
## [25] "herbaceous" "legume and fern"
## [27] "perennial hemiparasitic plants" "shrub and Deciduous"
## [29] "shrub and evergreen" "shrub and fern"
## [31] "shrub and forb" "shrub and grass"
## [33] "shrub and legume" "shrub, evergreen and Deciduous"
## [35] "shrub, evergreen and grass" "shrubs"
## [37] "shrubs herbs and evergreen "## [1] "Abisko (1)"
## [2] "Abisko (2)"
## [3] "Bajo"
## [4] "Boni village"
## [5] "British colombia"
## [6] "Cachoeira nature reserve"
## [7] "Castel Volturno Nature Reserve"
## [8] "Central Sri Lanka"
## [9] "Changbai Mountain (1)"
## [10] "Changbai Mountain (3)"
## [11] "Changbai Mountains (2)"
## [12] "Collada de Montalto"
## [13] "Cuesta Blanca"
## [14] "Dagujia forestry station"
## [15] "Daqinggou Ecological Station"
## [16] "Dinghushan Biosphere Reserve"
## [17] "Dinghushan Forest Experimental Station"
## [18] "Duolun County"
## [19] "Fenglin Natural Reserve"
## [20] "Flysch and Molasse "
## [21] "Frauschereck spruce forest stand"
## [22] "Guangxi Youyiguan Forest Ecosystem Research Station"
## [23] "Harrisson county"
## [24] "Haute-Normandie"
## [25] "Heshan National Field Research Station of Forest Ecosystems"
## [26] "Hornavan and Uddjaure large islands with shrubs "
## [27] "Hornavan and Uddjaure large islands with shrubs removal"
## [28] "Hornavan and Uddjaure medium-size islands with shrubs "
## [29] "Hornavan and Uddjaure medium-size islandss with shrubs removal"
## [30] "Hornavan and Uddjaure small islands with shrubs "
## [31] "Hornavan and Uddjaure small islands with shrubs removal"
## [32] "Huangshan Mountain"
## [33] "Huitong Experimental station "
## [34] "Hulun Buir City"
## [35] "Hyrcanian forests"
## [36] "Jinghai County"
## [37] "Kaserstattalm"
## [38] "Kreisbach Beech forest stand"
## [39] "Kreisbach mixed "
## [40] "Kreisbach Spruce"
## [41] "Leshan region"
## [42] "Liao River Source Nature Reserve"
## [43] "Mapire river floodplain"
## [44] "Minnesota"
## [45] "Miyaluo Experimental Forest"
## [46] "North Carolina (1)"
## [47] "North Carolina (2)"
## [48] "Observatoire de Haute Provence"
## [49] "Paracou"
## [50] "Parque Nacional Lanín"
## [51] "pristine Nyungwe"
## [52] "Qingyuan Forest"
## [53] "Reserva Biol´ogica San Francisco"
## [54] "Seoul National University Forest mixed stand"
## [55] "Seoul National University Forest oak stand"
## [56] "Seoul National University Korean pine stand"
## [57] "Taizi Mountain National Forest Park"
## [58] "Tiantong National Forest park"
## [59] "W Belgian Ardennes"
## [60] "Xainza Alpine Steppe and Wetland Ecosystem Observation Station "
## [61] "Zedelgem"
## [62] "Zigui County"## [1] "Forest" "Grassland" "Plantation" "Shrubland"## [1] "high" "low" "medium"2.2 Computations of response ratio
We calculated the response ratio (log transformed ratio of means) with the escalc() in the package metafor.
## Loading required package: Matrix##
## Loading the 'metafor' package (version 3.0-2). For an
## introduction to the package please type: help(metafor)## Continent Country year_of_experiment
## 1 Asia China 2011
## 2 Asia China 2011
## 3 Asia China 2011
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## 6 Asia China 2011
## 7 Asia China 2011
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## 9 Asia China 2011
## 10 Asia China 2011
## 11 Asia China 2011
## 12 Asia China 2011
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## 808 Asia China 2010
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## 810 Asia China 2010
## 811 Asia China 2010
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## 813 Asia China 2010
## 814 Asia China 2010
## 815 Asia China 2010
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## Site
## 1 Changbai Mountain (1)
## 2 Changbai Mountain (1)
## 3 Changbai Mountain (1)
## 4 Changbai Mountain (1)
## 5 Changbai Mountain (1)
## 6 Changbai Mountain (1)
## 7 Changbai Mountain (1)
## 8 Changbai Mountain (1)
## 9 Changbai Mountain (1)
## 10 Changbai Mountain (1)
## 11 Changbai Mountain (1)
## 12 Changbai Mountain (1)
## 13 Changbai Mountain (1)
## 14 Changbai Mountain (1)
## 15 Changbai Mountain (1)
## 16 Changbai Mountain (1)
## 17 Changbai Mountain (1)
## 18 Changbai Mountain (1)
## 19 Changbai Mountain (1)
## 20 Changbai Mountain (1)
## 21 Changbai Mountain (1)
## 22 Changbai Mountain (1)
## 23 Changbai Mountain (1)
## 24 Changbai Mountain (1)
## 25 Qingyuan Forest
## 26 Qingyuan Forest
## 27 Qingyuan Forest
## 28 Qingyuan Forest
## 29 Qingyuan Forest
## 30 Qingyuan Forest
## 31 Qingyuan Forest
## 32 Qingyuan Forest
## 33 Qingyuan Forest
## 34 Qingyuan Forest
## 35 Qingyuan Forest
## 36 Qingyuan Forest
## 37 Qingyuan Forest
## 38 Qingyuan Forest
## 39 Qingyuan Forest
## 40 Qingyuan Forest
## 41 Qingyuan Forest
## 42 Qingyuan Forest
## 43 Changbai Mountains (2)
## 44 Changbai Mountains (2)
## 45 Changbai Mountains (2)
## 46 Changbai Mountains (2)
## 47 Changbai Mountains (2)
## 48 Changbai Mountains (2)
## 49 Changbai Mountains (2)
## 50 Changbai Mountains (2)
## 51 Changbai Mountains (2)
## 52 Changbai Mountains (2)
## 53 Changbai Mountains (2)
## 54 Changbai Mountains (2)
## 55 Changbai Mountains (2)
## 56 Changbai Mountains (2)
## 57 Changbai Mountains (2)
## 58 Changbai Mountains (2)
## 59 North Carolina (1)
## 60 North Carolina (1)
## 61 Paracou
## 62 Paracou
## 63 Paracou
## 64 Paracou
## 65 Paracou
## 66 Paracou
## 67 Paracou
## 68 Paracou
## 69 Paracou
## 70 Paracou
## 71 Paracou
## 72 Paracou
## 73 Paracou
## 74 Paracou
## 75 Paracou
## 76 Paracou
## 77 Paracou
## 78 Paracou
## 79 Paracou
## 80 Paracou
## 81 Paracou
## 82 Paracou
## 83 Paracou
## 84 Paracou
## 85 Paracou
## 86 Paracou
## 87 Paracou
## 88 Paracou
## 89 Reserva Biol´ogica San Francisco
## 90 Reserva Biol´ogica San Francisco
## 91 Reserva Biol´ogica San Francisco
## 92 W Belgian Ardennes
## 93 W Belgian Ardennes
## 94 W Belgian Ardennes
## 95 W Belgian Ardennes
## 96 W Belgian Ardennes
## 97 W Belgian Ardennes
## 98 Changbai Mountain (3)
## 99 Changbai Mountain (3)
## 100 Changbai Mountain (3)
## 101 Changbai Mountain (3)
## 102 Changbai Mountain (3)
## 103 Changbai Mountain (3)
## 104 Changbai Mountain (3)
## 105 Changbai Mountain (3)
## 106 Changbai Mountain (3)
## 107 Changbai Mountain (3)
## 108 Changbai Mountain (3)
## 109 Changbai Mountain (3)
## 110 Changbai Mountain (3)
## 111 Changbai Mountain (3)
## 112 Changbai Mountain (3)
## 113 Changbai Mountain (3)
## 114 Changbai Mountain (3)
## 115 Changbai Mountain (3)
## 116 Changbai Mountain (3)
## 117 Changbai Mountain (3)
## 118 Changbai Mountain (3)
## 119 Changbai Mountain (3)
## 120 Changbai Mountain (3)
## 121 Changbai Mountain (3)
## 122 Jinghai County
## 123 Jinghai County
## 124 Jinghai County
## 125 Jinghai County
## 126 Jinghai County
## 127 Jinghai County
## 128 Jinghai County
## 129 Jinghai County
## 130 Jinghai County
## 131 Jinghai County
## 132 Jinghai County
## 133 Jinghai County
## 134 Jinghai County
## 135 Jinghai County
## 136 Jinghai County
## 137 North Carolina (2)
## 138 North Carolina (2)
## 139 North Carolina (2)
## 140 Taizi Mountain National Forest Park
## 141 Taizi Mountain National Forest Park
## 142 Taizi Mountain National Forest Park
## 143 Taizi Mountain National Forest Park
## 144 Taizi Mountain National Forest Park
## 145 Taizi Mountain National Forest Park
## 146 Taizi Mountain National Forest Park
## 147 Taizi Mountain National Forest Park
## 148 Taizi Mountain National Forest Park
## 149 Taizi Mountain National Forest Park
## 150 Taizi Mountain National Forest Park
## 151 Taizi Mountain National Forest Park
## 152 Abisko (1)
## 153 Abisko (1)
## 154 Abisko (1)
## 155 Abisko (1)
## 156 Abisko (1)
## 157 Abisko (1)
## 158 Abisko (1)
## 159 Abisko (1)
## 160 Abisko (1)
## 161 Abisko (1)
## 162 Abisko (1)
## 163 Abisko (1)
## 164 Abisko (1)
## 165 Abisko (1)
## 166 Abisko (1)
## 167 Abisko (1)
## 168 Abisko (1)
## 169 Abisko (1)
## 170 Abisko (1)
## 171 Abisko (1)
## 172 Abisko (1)
## 173 Abisko (1)
## 174 Abisko (1)
## 175 Abisko (1)
## 176 Huangshan Mountain
## 177 Huangshan Mountain
## 178 Huangshan Mountain
## 179 Huangshan Mountain
## 180 Huangshan Mountain
## 181 Huangshan Mountain
## 182 Huangshan Mountain
## 183 Huangshan Mountain
## 184 Boni village
## 185 Boni village
## 186 Boni village
## 187 Boni village
## 188 Boni village
## 189 Boni village
## 190 Parque Nacional Lanín
## 191 Parque Nacional Lanín
## 192 Parque Nacional Lanín
## 193 Parque Nacional Lanín
## 194 Huitong Experimental station
## 195 Huitong Experimental station
## 196 Huitong Experimental station
## 197 Huitong Experimental station
## 198 Huitong Experimental station
## 199 Huitong Experimental station
## 200 British colombia
## 201 British colombia
## 202 British colombia
## 203 British colombia
## 204 British colombia
## 205 British colombia
## 206 British colombia
## 207 British colombia
## 208 British colombia
## 209 British colombia
## 210 Haute-Normandie
## 211 Haute-Normandie
## 212 Haute-Normandie
## 213 Haute-Normandie
## 214 Haute-Normandie
## 215 Haute-Normandie
## 216 Harrisson county
## 217 Harrisson county
## 218 Harrisson county
## 219 Harrisson county
## 220 Harrisson county
## 221 Harrisson county
## 222 Parque Nacional Lanín
## 223 Parque Nacional Lanín
## 224 Parque Nacional Lanín
## 225 Parque Nacional Lanín
## 226 Leshan region
## 227 Leshan region
## 228 Leshan region
## 229 Leshan region
## 230 Leshan region
## 231 Leshan region
## 232 Leshan region
## 233 Leshan region
## 234 Leshan region
## 235 Leshan region
## 236 Leshan region
## 237 Leshan region
## 238 Leshan region
## 239 Leshan region
## 240 Leshan region
## 241 Leshan region
## 242 Leshan region
## 243 Leshan region
## 244 Leshan region
## 245 Leshan region
## 246 Leshan region
## 247 Leshan region
## 248 Leshan region
## 249 Leshan region
## 250 Leshan region
## 251 Leshan region
## 252 Leshan region
## 253 Leshan region
## 254 Leshan region
## 255 Leshan region
## 256 Leshan region
## 257 Leshan region
## 258 Leshan region
## 259 pristine Nyungwe
## 260 pristine Nyungwe
## 261 pristine Nyungwe
## 262 pristine Nyungwe
## 263 pristine Nyungwe
## 264 Seoul National University Forest oak stand
## 265 Seoul National University Forest oak stand
## 266 Seoul National University Forest oak stand
## 267 Seoul National University Forest oak stand
## 268 Seoul National University Forest oak stand
## 269 Seoul National University Forest oak stand
## 270 Seoul National University Forest oak stand
## 271 Seoul National University Forest oak stand
## 272 Seoul National University Forest oak stand
## 273 Seoul National University Forest oak stand
## 274 Seoul National University Forest oak stand
## 275 Seoul National University Forest oak stand
## 276 Seoul National University Forest mixed stand
## 277 Seoul National University Forest mixed stand
## 278 Seoul National University Forest mixed stand
## 279 Seoul National University Forest mixed stand
## 280 Seoul National University Forest mixed stand
## 281 Seoul National University Forest mixed stand
## 282 Seoul National University Forest mixed stand
## 283 Seoul National University Forest mixed stand
## 284 Seoul National University Forest mixed stand
## 285 Seoul National University Forest mixed stand
## 286 Seoul National University Forest mixed stand
## 287 Seoul National University Forest mixed stand
## 288 Seoul National University Korean pine stand
## 289 Seoul National University Korean pine stand
## 290 Seoul National University Korean pine stand
## 291 Seoul National University Korean pine stand
## 292 Seoul National University Korean pine stand
## 293 Seoul National University Korean pine stand
## 294 Seoul National University Korean pine stand
## 295 Seoul National University Korean pine stand
## 296 Seoul National University Korean pine stand
## 297 Seoul National University Korean pine stand
## 298 Seoul National University Korean pine stand
## 299 Seoul National University Korean pine stand
## 300 Dinghushan Forest Experimental Station
## 301 Dinghushan Forest Experimental Station
## 302 Dinghushan Forest Experimental Station
## 303 Dinghushan Forest Experimental Station
## 304 Dinghushan Forest Experimental Station
## 305 Dinghushan Forest Experimental Station
## 306 Dinghushan Forest Experimental Station
## 307 Collada de Montalto
## 308 Collada de Montalto
## 309 Collada de Montalto
## 310 Collada de Montalto
## 311 Collada de Montalto
## 312 Collada de Montalto
## 313 Liao River Source Nature Reserve
## 314 Liao River Source Nature Reserve
## 315 Liao River Source Nature Reserve
## 316 Liao River Source Nature Reserve
## 317 Liao River Source Nature Reserve
## 318 Liao River Source Nature Reserve
## 319 Liao River Source Nature Reserve
## 320 Liao River Source Nature Reserve
## 321 Observatoire de Haute Provence
## 322 Observatoire de Haute Provence
## 323 Observatoire de Haute Provence
## 324 Observatoire de Haute Provence
## 325 Observatoire de Haute Provence
## 326 Observatoire de Haute Provence
## 327 Observatoire de Haute Provence
## 328 Observatoire de Haute Provence
## 329 Observatoire de Haute Provence
## 330 Observatoire de Haute Provence
## 331 Observatoire de Haute Provence
## 332 Observatoire de Haute Provence
## 333 Observatoire de Haute Provence
## 334 Observatoire de Haute Provence
## 335 Observatoire de Haute Provence
## 336 Observatoire de Haute Provence
## 337 Observatoire de Haute Provence
## 338 Observatoire de Haute Provence
## 339 Observatoire de Haute Provence
## 340 Observatoire de Haute Provence
## 341 Observatoire de Haute Provence
## 342 Observatoire de Haute Provence
## 343 Zigui County
## 344 Zigui County
## 345 Zigui County
## 346 Zigui County
## 347 Central Sri Lanka
## 348 Central Sri Lanka
## 349 Daqinggou Ecological Station
## 350 Daqinggou Ecological Station
## 351 Daqinggou Ecological Station
## 352 Daqinggou Ecological Station
## 353 Daqinggou Ecological Station
## 354 Daqinggou Ecological Station
## 355 Daqinggou Ecological Station
## 356 Daqinggou Ecological Station
## 357 Daqinggou Ecological Station
## 358 Daqinggou Ecological Station
## 359 Daqinggou Ecological Station
## 360 Daqinggou Ecological Station
## 361 Kaserstattalm
## 362 Kaserstattalm
## 363 Kaserstattalm
## 364 Kaserstattalm
## 365 Kaserstattalm
## 366 Kaserstattalm
## 367 Kaserstattalm
## 368 Kaserstattalm
## 369 Kaserstattalm
## 370 Kaserstattalm
## 371 Kaserstattalm
## 372 Kaserstattalm
## 373 Minnesota
## 374 Minnesota
## 375 Minnesota
## 376 Minnesota
## 377 Minnesota
## 378 Minnesota
## 379 Minnesota
## 380 Minnesota
## 381 Minnesota
## 382 Minnesota
## 383 Minnesota
## 384 Minnesota
## 385 Minnesota
## 386 Minnesota
## 387 Minnesota
## 388 Minnesota
## 389 Minnesota
## 390 Minnesota
## 391 Minnesota
## 392 Minnesota
## 393 Minnesota
## 394 Minnesota
## 395 Minnesota
## 396 Minnesota
## 397 Minnesota
## 398 Minnesota
## 399 Minnesota
## 400 Minnesota
## 401 Minnesota
## 402 Minnesota
## 403 Minnesota
## 404 Minnesota
## 405 Minnesota
## 406 Minnesota
## 407 Minnesota
## 408 Minnesota
## 409 Minnesota
## 410 Minnesota
## 411 Minnesota
## 412 Minnesota
## 413 Minnesota
## 414 Minnesota
## 415 Minnesota
## 416 Minnesota
## 417 Minnesota
## 418 Minnesota
## 419 Minnesota
## 420 Minnesota
## 421 Minnesota
## 422 Minnesota
## 423 Minnesota
## 424 Minnesota
## 425 Minnesota
## 426 Minnesota
## 427 Minnesota
## 428 Minnesota
## 429 Minnesota
## 430 Minnesota
## 431 Minnesota
## 432 Minnesota
## 433 Minnesota
## 434 Minnesota
## 435 Minnesota
## 436 Minnesota
## 437 Minnesota
## 438 Minnesota
## 439 Minnesota
## 440 Minnesota
## 441 Minnesota
## 442 Minnesota
## 443 Minnesota
## 444 Minnesota
## 445 Minnesota
## 446 Minnesota
## 447 Minnesota
## 448 Minnesota
## 449 Minnesota
## 450 Minnesota
## 451 Minnesota
## 452 Minnesota
## 453 Minnesota
## 454 Minnesota
## 455 Minnesota
## 456 Minnesota
## 457 Minnesota
## 458 Minnesota
## 459 Minnesota
## 460 Minnesota
## 461 Minnesota
## 462 Minnesota
## 463 Minnesota
## 464 Minnesota
## 465 Minnesota
## 466 Minnesota
## 467 Minnesota
## 468 Minnesota
## 469 Minnesota
## 470 Minnesota
## 471 Minnesota
## 472 Minnesota
## 473 Minnesota
## 474 Minnesota
## 475 Minnesota
## 476 Minnesota
## 477 Minnesota
## 478 Minnesota
## 479 Minnesota
## 480 Minnesota
## 481 Minnesota
## 482 Minnesota
## 483 Minnesota
## 484 Minnesota
## 485 Minnesota
## 486 Minnesota
## 487 Minnesota
## 488 Minnesota
## 489 Minnesota
## 490 Minnesota
## 491 Minnesota
## 492 Minnesota
## 493 Minnesota
## 494 Minnesota
## 495 Minnesota
## 496 Minnesota
## 497 Minnesota
## 498 Minnesota
## 499 Minnesota
## 500 Minnesota
## 501 Minnesota
## 502 Minnesota
## 503 Minnesota
## 504 Minnesota
## 505 Minnesota
## 506 Minnesota
## 507 Minnesota
## 508 Minnesota
## 509 Minnesota
## 510 Minnesota
## 511 Minnesota
## 512 Minnesota
## 513 Minnesota
## 514 Minnesota
## 515 Hornavan and Uddjaure small islands with shrubs removal
## 516 Hornavan and Uddjaure small islands with shrubs removal
## 517 Hornavan and Uddjaure small islands with shrubs removal
## 518 Hornavan and Uddjaure small islands with shrubs removal
## 519 Hornavan and Uddjaure small islands with shrubs
## 520 Hornavan and Uddjaure small islands with shrubs
## 521 Hornavan and Uddjaure small islands with shrubs
## 522 Hornavan and Uddjaure small islands with shrubs
## 523 Hornavan and Uddjaure medium-size islandss with shrubs removal
## 524 Hornavan and Uddjaure medium-size islandss with shrubs removal
## 525 Hornavan and Uddjaure medium-size islandss with shrubs removal
## 526 Hornavan and Uddjaure medium-size islandss with shrubs removal
## 527 Hornavan and Uddjaure medium-size islands with shrubs
## 528 Hornavan and Uddjaure medium-size islands with shrubs
## 529 Hornavan and Uddjaure medium-size islands with shrubs
## 530 Hornavan and Uddjaure medium-size islands with shrubs
## 531 Hornavan and Uddjaure large islands with shrubs removal
## 532 Hornavan and Uddjaure large islands with shrubs removal
## 533 Hornavan and Uddjaure large islands with shrubs removal
## 534 Hornavan and Uddjaure large islands with shrubs removal
## 535 Hornavan and Uddjaure large islands with shrubs
## 536 Hornavan and Uddjaure large islands with shrubs
## 537 Hornavan and Uddjaure large islands with shrubs
## 538 Hornavan and Uddjaure large islands with shrubs
## 539 Flysch and Molasse
## 540 Flysch and Molasse
## 541 Flysch and Molasse
## 542 Flysch and Molasse
## 543 Kreisbach Spruce
## 544 Kreisbach Spruce
## 545 Kreisbach Spruce
## 546 Kreisbach mixed
## 547 Kreisbach mixed
## 548 Kreisbach mixed
## 549 Kreisbach Beech forest stand
## 550 Kreisbach Beech forest stand
## 551 Kreisbach Beech forest stand
## 552 Frauschereck spruce forest stand
## 553 Frauschereck spruce forest stand
## 554 Frauschereck spruce forest stand
## 555 Frauschereck spruce forest stand
## 556 Frauschereck spruce forest stand
## 557 Frauschereck spruce forest stand
## 558 Frauschereck spruce forest stand
## 559 Frauschereck spruce forest stand
## 560 Frauschereck spruce forest stand
## 561 Kreisbach Spruce
## 562 Kreisbach Spruce
## 563 Kreisbach Spruce
## 564 Kreisbach mixed
## 565 Kreisbach mixed
## 566 Kreisbach mixed
## 567 Kreisbach Beech forest stand
## 568 Kreisbach Beech forest stand
## 569 Kreisbach Beech forest stand
## 570 Frauschereck spruce forest stand
## 571 Frauschereck spruce forest stand
## 572 Frauschereck spruce forest stand
## 573 Frauschereck spruce forest stand
## 574 Frauschereck spruce forest stand
## 575 Frauschereck spruce forest stand
## 576 Frauschereck spruce forest stand
## 577 Frauschereck spruce forest stand
## 578 Frauschereck spruce forest stand
## 579 Daqinggou Ecological Station
## 580 Daqinggou Ecological Station
## 581 Mapire river floodplain
## 582 Mapire river floodplain
## 583 Mapire river floodplain
## 584 Mapire river floodplain
## 585 Mapire river floodplain
## 586 Zedelgem
## 587 Zedelgem
## 588 Zedelgem
## 589 Zedelgem
## 590 Zedelgem
## 591 Zedelgem
## 592 Zedelgem
## 593 Zedelgem
## 594 Zedelgem
## 595 Zedelgem
## 596 Zedelgem
## 597 Zedelgem
## 598 Zedelgem
## 599 Zedelgem
## 600 Zedelgem
## 601 Guangxi Youyiguan Forest Ecosystem Research Station
## 602 Cachoeira nature reserve
## 603 Cachoeira nature reserve
## 604 Cachoeira nature reserve
## 605 Cachoeira nature reserve
## 606 Cachoeira nature reserve
## 607 Cachoeira nature reserve
## 608 Cachoeira nature reserve
## 609 Cachoeira nature reserve
## 610 Cachoeira nature reserve
## 611 Cachoeira nature reserve
## 612 Cachoeira nature reserve
## 613 Cachoeira nature reserve
## 614 Cachoeira nature reserve
## 615 Cachoeira nature reserve
## 616 Cachoeira nature reserve
## 617 Cachoeira nature reserve
## 618 Cachoeira nature reserve
## 619 Cachoeira nature reserve
## 620 Cachoeira nature reserve
## 621 Cachoeira nature reserve
## 622 Cachoeira nature reserve
## 623 Cachoeira nature reserve
## 624 Cachoeira nature reserve
## 625 Cachoeira nature reserve
## 626 Cachoeira nature reserve
## 627 Cachoeira nature reserve
## 628 Cachoeira nature reserve
## 629 Cachoeira nature reserve
## 630 Cachoeira nature reserve
## 631 Cachoeira nature reserve
## 632 Cachoeira nature reserve
## 633 Cachoeira nature reserve
## 634 Cachoeira nature reserve
## 635 Cachoeira nature reserve
## 636 Cachoeira nature reserve
## 637 Cachoeira nature reserve
## 638 Cachoeira nature reserve
## 639 Cachoeira nature reserve
## 640 Cachoeira nature reserve
## 641 Cachoeira nature reserve
## 642 Cachoeira nature reserve
## 643 Cachoeira nature reserve
## 644 Cachoeira nature reserve
## 645 Cachoeira nature reserve
## 646 Cachoeira nature reserve
## 647 Cachoeira nature reserve
## 648 Cachoeira nature reserve
## 649 Cachoeira nature reserve
## 650 Bajo
## 651 Bajo
## 652 Bajo
## 653 Bajo
## 654 Bajo
## 655 Bajo
## 656 Bajo
## 657 Bajo
## 658 Bajo
## 659 Bajo
## 660 Bajo
## 661 Bajo
## 662 Bajo
## 663 Bajo
## 664 Bajo
## 665 Hyrcanian forests
## 666 Hyrcanian forests
## 667 Hyrcanian forests
## 668 Hyrcanian forests
## 669 Hyrcanian forests
## 670 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 671 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 672 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 673 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 674 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 675 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 676 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 677 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 678 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 679 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 680 Xainza Alpine Steppe and Wetland Ecosystem Observation Station
## 681 Fenglin Natural Reserve
## 682 Fenglin Natural Reserve
## 683 Fenglin Natural Reserve
## 684 Fenglin Natural Reserve
## 685 Fenglin Natural Reserve
## 686 Fenglin Natural Reserve
## 687 Tiantong National Forest park
## 688 Tiantong National Forest park
## 689 Tiantong National Forest park
## 690 Tiantong National Forest park
## 691 Tiantong National Forest park
## 692 Tiantong National Forest park
## 693 Tiantong National Forest park
## 694 Tiantong National Forest park
## 695 Tiantong National Forest park
## 696 Tiantong National Forest park
## 697 Tiantong National Forest park
## 698 Tiantong National Forest park
## 699 Tiantong National Forest park
## 700 Tiantong National Forest park
## 701 Tiantong National Forest park
## 702 Tiantong National Forest park
## 703 Tiantong National Forest park
## 704 Tiantong National Forest park
## 705 Tiantong National Forest park
## 706 Tiantong National Forest park
## 707 Tiantong National Forest park
## 708 Tiantong National Forest park
## 709 Tiantong National Forest park
## 710 Tiantong National Forest park
## 711 Tiantong National Forest park
## 712 Tiantong National Forest park
## 713 Tiantong National Forest park
## 714 Miyaluo Experimental Forest
## 715 Miyaluo Experimental Forest
## 716 Miyaluo Experimental Forest
## 717 Abisko (2)
## 718 Abisko (2)
## 719 Abisko (2)
## 720 Abisko (2)
## 721 Abisko (2)
## 722 Abisko (2)
## 723 Abisko (2)
## 724 Abisko (2)
## 725 Abisko (2)
## 726 Abisko (2)
## 727 Abisko (2)
## 728 Abisko (2)
## 729 Abisko (2)
## 730 Abisko (2)
## 731 Abisko (2)
## 732 Abisko (2)
## 733 Abisko (2)
## 734 Abisko (2)
## 735 Abisko (2)
## 736 Abisko (2)
## 737 Dinghushan Biosphere Reserve
## 738 Dinghushan Biosphere Reserve
## 739 Dinghushan Biosphere Reserve
## 740 Dinghushan Biosphere Reserve
## 741 Dinghushan Biosphere Reserve
## 742 Dinghushan Biosphere Reserve
## 743 Dinghushan Biosphere Reserve
## 744 Dinghushan Biosphere Reserve
## 745 Dinghushan Biosphere Reserve
## 746 Dinghushan Biosphere Reserve
## 747 Dinghushan Biosphere Reserve
## 748 Dinghushan Biosphere Reserve
## 749 Dinghushan Biosphere Reserve
## 750 Dinghushan Biosphere Reserve
## 751 Dinghushan Biosphere Reserve
## 752 Dinghushan Biosphere Reserve
## 753 Dinghushan Biosphere Reserve
## 754 Dinghushan Biosphere Reserve
## 755 Dinghushan Biosphere Reserve
## 756 Dinghushan Biosphere Reserve
## 757 Dinghushan Biosphere Reserve
## 758 Dinghushan Biosphere Reserve
## 759 Dinghushan Biosphere Reserve
## 760 Dinghushan Biosphere Reserve
## 761 Dinghushan Biosphere Reserve
## 762 Dinghushan Biosphere Reserve
## 763 Dinghushan Biosphere Reserve
## 764 Castel Volturno Nature Reserve
## 765 Castel Volturno Nature Reserve
## 766 Castel Volturno Nature Reserve
## 767 Castel Volturno Nature Reserve
## 768 Dagujia forestry station
## 769 Dagujia forestry station
## 770 Dagujia forestry station
## 771 Dagujia forestry station
## 772 Dagujia forestry station
## 773 Dagujia forestry station
## 774 Dagujia forestry station
## 775 Dagujia forestry station
## 776 Dagujia forestry station
## 777 Dagujia forestry station
## 778 Cuesta Blanca
## 779 Cuesta Blanca
## 780 Cuesta Blanca
## 781 Cuesta Blanca
## 782 Cuesta Blanca
## 783 Cuesta Blanca
## 784 Cuesta Blanca
## 785 Cuesta Blanca
## 786 Cuesta Blanca
## 787 Cuesta Blanca
## 788 Cuesta Blanca
## 789 Cuesta Blanca
## 790 Cuesta Blanca
## 791 Cuesta Blanca
## 792 Cuesta Blanca
## 793 Cuesta Blanca
## 794 Cuesta Blanca
## 795 Cuesta Blanca
## 796 Cuesta Blanca
## 797 Cuesta Blanca
## 798 Cuesta Blanca
## 799 Cuesta Blanca
## 800 Cuesta Blanca
## 801 Cuesta Blanca
## 802 Cuesta Blanca
## 803 Cuesta Blanca
## 804 Hulun Buir City
## 805 Hulun Buir City
## 806 Hulun Buir City
## 807 Hulun Buir City
## 808 Hulun Buir City
## 809 Hulun Buir City
## 810 Hulun Buir City
## 811 Hulun Buir City
## 812 Hulun Buir City
## 813 Hulun Buir City
## 814 Hulun Buir City
## 815 Hulun Buir City
## 816 Heshan National Field Research Station of Forest Ecosystems
## 817 Heshan National Field Research Station of Forest Ecosystems
## 818 Heshan National Field Research Station of Forest Ecosystems
## 819 Heshan National Field Research Station of Forest Ecosystems
## 820 Heshan National Field Research Station of Forest Ecosystems
## 821 Heshan National Field Research Station of Forest Ecosystems
## 822 Heshan National Field Research Station of Forest Ecosystems
## 823 Heshan National Field Research Station of Forest Ecosystems
## 824 Heshan National Field Research Station of Forest Ecosystems
## 825 Heshan National Field Research Station of Forest Ecosystems
## 826 Heshan National Field Research Station of Forest Ecosystems
## 827 Heshan National Field Research Station of Forest Ecosystems
## 828 Heshan National Field Research Station of Forest Ecosystems
## 829 Heshan National Field Research Station of Forest Ecosystems
## 830 Heshan National Field Research Station of Forest Ecosystems
## 831 Heshan National Field Research Station of Forest Ecosystems
## 832 Heshan National Field Research Station of Forest Ecosystems
## 833 Heshan National Field Research Station of Forest Ecosystems
## 834 Heshan National Field Research Station of Forest Ecosystems
## 835 Heshan National Field Research Station of Forest Ecosystems
## 836 Heshan National Field Research Station of Forest Ecosystems
## 837 Heshan National Field Research Station of Forest Ecosystems
## 838 Heshan National Field Research Station of Forest Ecosystems
## 839 Heshan National Field Research Station of Forest Ecosystems
## 840 Heshan National Field Research Station of Forest Ecosystems
## 841 Heshan National Field Research Station of Forest Ecosystems
## 842 Heshan National Field Research Station of Forest Ecosystems
## 843 Heshan National Field Research Station of Forest Ecosystems
## 844 Heshan National Field Research Station of Forest Ecosystems
## 845 Heshan National Field Research Station of Forest Ecosystems
## 846 Heshan National Field Research Station of Forest Ecosystems
## 847 Heshan National Field Research Station of Forest Ecosystems
## 848 Heshan National Field Research Station of Forest Ecosystems
## 849 Heshan National Field Research Station of Forest Ecosystems
## 850 Heshan National Field Research Station of Forest Ecosystems
## 851 Heshan National Field Research Station of Forest Ecosystems
## 852 Heshan National Field Research Station of Forest Ecosystems
## 853 Heshan National Field Research Station of Forest Ecosystems
## 854 Heshan National Field Research Station of Forest Ecosystems
## 855 Heshan National Field Research Station of Forest Ecosystems
## 856 Heshan National Field Research Station of Forest Ecosystems
## 857 Heshan National Field Research Station of Forest Ecosystems
## 858 Heshan National Field Research Station of Forest Ecosystems
## 859 Heshan National Field Research Station of Forest Ecosystems
## 860 Duolun County
## 861 Duolun County
## 862 Duolun County
## 863 Duolun County
## 864 Duolun County
## 865 Duolun County
## 866 Duolun County
## 867 Duolun County
## lat_decimals long_decimals eco_type Annual_precip precipitation_levels
## 1 42.03000 128.03000 Forest 1000.00 low
## 2 42.03000 128.03000 Forest 1000.00 low
## 3 42.03000 128.03000 Forest 1000.00 low
## 4 42.03000 128.03000 Forest 1000.00 low
## 5 42.03000 128.03000 Forest 1000.00 low
## 6 42.03000 128.03000 Forest 1000.00 low
## 7 42.03000 128.03000 Forest 1000.00 low
## 8 42.03000 128.03000 Forest 1000.00 low
## 9 42.03000 128.03000 Forest 1000.00 low
## 10 42.03000 128.03000 Forest 1000.00 low
## 11 42.03000 128.03000 Forest 1000.00 low
## 12 42.03000 128.03000 Forest 1000.00 low
## 13 42.03000 128.03000 Forest 1000.00 low
## 14 42.03000 128.03000 Forest 1000.00 low
## 15 42.03000 128.03000 Forest 1000.00 low
## 16 42.03000 128.03000 Forest 1000.00 low
## 17 42.03000 128.03000 Forest 1000.00 low
## 18 42.03000 128.03000 Forest 1000.00 low
## 19 42.03000 128.03000 Forest 1000.00 low
## 20 42.03000 128.03000 Forest 1000.00 low
## 21 42.03000 128.03000 Forest 1000.00 low
## 22 42.03000 128.03000 Forest 1000.00 low
## 23 42.03000 128.03000 Forest 1000.00 low
## 24 42.03000 128.03000 Forest 1000.00 low
## 25 41.51000 124.54000 Forest 850.00 low
## 26 41.51000 124.54000 Forest 850.00 low
## 27 41.51000 124.54000 Forest 850.00 low
## 28 41.51000 124.54000 Forest 850.00 low
## 29 41.51000 124.54000 Forest 850.00 low
## 30 41.51000 124.54000 Forest 850.00 low
## 31 41.51000 124.54000 Forest 850.00 low
## 32 41.51000 124.54000 Forest 850.00 low
## 33 41.51000 124.54000 Forest 850.00 low
## 34 41.51000 124.54000 Forest 850.00 low
## 35 41.51000 124.54000 Forest 850.00 low
## 36 41.51000 124.54000 Forest 850.00 low
## 37 41.51000 124.54000 Forest 850.00 low
## 38 41.51000 124.54000 Forest 850.00 low
## 39 41.51000 124.54000 Forest 850.00 low
## 40 41.51000 124.54000 Forest 850.00 low
## 41 41.51000 124.54000 Forest 850.00 low
## 42 41.51000 124.54000 Forest 850.00 low
## 43 42.24000 128.50000 Forest 800.00 low
## 44 42.24000 128.50000 Forest 800.00 low
## 45 42.24000 128.50000 Forest 800.00 low
## 46 42.24000 128.50000 Forest 800.00 low
## 47 42.24000 128.50000 Forest 800.00 low
## 48 42.24000 128.50000 Forest 800.00 low
## 49 42.24000 128.50000 Forest 800.00 low
## 50 42.24000 128.50000 Forest 800.00 low
## 51 42.24000 128.50000 Forest 800.00 low
## 52 42.24000 128.50000 Forest 800.00 low
## 53 42.24000 128.50000 Forest 800.00 low
## 54 42.24000 128.50000 Forest 800.00 low
## 55 42.24000 128.50000 Forest 800.00 low
## 56 42.24000 128.50000 Forest 800.00 low
## 57 42.24000 128.50000 Forest 800.00 low
## 58 42.24000 128.50000 Forest 800.00 low
## 59 35.03000 -83.25000 Forest 1936.00 medium
## 60 35.03000 -83.25000 Forest 1936.00 medium
## 61 5.18000 -52.53000 Forest 3041.00 high
## 62 5.18000 -52.53000 Forest 3041.00 high
## 63 5.18000 -52.53000 Forest 3041.00 high
## 64 5.18000 -52.53000 Forest 3041.00 high
## 65 5.18000 -52.53000 Forest 3041.00 high
## 66 5.18000 -52.53000 Forest 3041.00 high
## 67 5.18000 -52.53000 Forest 3041.00 high
## 68 5.18000 -52.53000 Forest 3041.00 high
## 69 5.18000 -52.53000 Forest 3041.00 high
## 70 5.18000 -52.53000 Forest 3041.00 high
## 71 5.18000 -52.53000 Forest 3041.00 high
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## 516 66.09000 17.55000 Forest 572.00 low
## 517 66.09000 17.55000 Forest 572.00 low
## 518 66.09000 17.55000 Forest 572.00 low
## 519 66.09000 17.55000 Forest 572.00 low
## 520 66.09000 17.55000 Forest 572.00 low
## 521 66.09000 17.55000 Forest 572.00 low
## 522 66.09000 17.55000 Forest 572.00 low
## 523 66.09000 17.55000 Forest 572.00 low
## 524 66.09000 17.55000 Forest 572.00 low
## 525 66.09000 17.55000 Forest 572.00 low
## 526 66.09000 17.55000 Forest 572.00 low
## 527 66.09000 17.55000 Forest 572.00 low
## 528 66.09000 17.55000 Forest 572.00 low
## 529 66.09000 17.55000 Forest 572.00 low
## 530 66.09000 17.55000 Forest 572.00 low
## 531 66.09000 17.55000 Forest 572.00 low
## 532 66.09000 17.55000 Forest 572.00 low
## 533 66.09000 17.55000 Forest 572.00 low
## 534 66.09000 17.55000 Forest 572.00 low
## 535 66.09000 17.55000 Forest 572.00 low
## 536 66.09000 17.55000 Forest 572.00 low
## 537 66.09000 17.55000 Forest 572.00 low
## 538 66.09000 17.55000 Forest 572.00 low
## 539 48.05500 15.39460 Forest 1043.00 medium
## 540 48.05500 15.39460 Forest 1043.00 medium
## 541 48.05500 15.39540 Forest 1043.00 medium
## 542 48.05500 13.18360 Forest 1043.00 medium
## 543 48.05500 15.39460 Forest 850.00 low
## 544 48.05500 15.39460 Forest 850.00 low
## 545 48.05500 15.39460 Forest 850.00 low
## 546 48.05500 15.39490 Forest 850.00 low
## 547 48.05500 15.39490 Forest 850.00 low
## 548 48.05500 15.39490 Forest 850.00 low
## 549 48.05500 15.39540 Forest 850.00 low
## 550 48.05500 15.39540 Forest 850.00 low
## 551 48.05500 15.39540 Forest 850.00 low
## 552 48.05270 13.18360 Forest 1180.00 medium
## 553 48.05270 13.18360 Forest 1180.00 medium
## 554 48.05270 13.18360 Forest 1180.00 medium
## 555 48.05270 13.18360 Forest 1180.00 medium
## 556 48.05270 13.18360 Forest 1180.00 medium
## 557 48.05270 13.18360 Forest 1180.00 medium
## 558 48.05270 13.18360 Forest 1180.00 medium
## 559 48.05270 13.18360 Forest 1180.00 medium
## 560 48.05270 13.18360 Forest 1180.00 medium
## 561 48.05500 15.39460 Forest 850.00 low
## 562 48.05500 15.39460 Forest 850.00 low
## 563 48.05500 15.39460 Forest 850.00 low
## 564 48.05500 15.39490 Forest 850.00 low
## 565 48.05500 15.39490 Forest 850.00 low
## 566 48.05500 15.39490 Forest 850.00 low
## 567 48.05500 15.39540 Forest 850.00 low
## 568 48.05500 15.39540 Forest 850.00 low
## 569 48.05500 15.39540 Forest 850.00 low
## 570 48.05270 13.18360 Forest 1180.00 medium
## 571 48.05270 13.18360 Forest 1180.00 medium
## 572 48.05270 13.18360 Forest 1180.00 medium
## 573 48.05270 13.18360 Forest 1180.00 medium
## 574 48.05270 13.18360 Forest 1180.00 medium
## 575 48.05270 13.18360 Forest 1180.00 medium
## 576 48.05270 13.18360 Forest 1180.00 medium
## 577 48.05270 13.18360 Forest 1180.00 medium
## 578 48.05270 13.18360 Forest 1180.00 medium
## 579 42.58000 122.21000 Forest 450.00 low
## 580 42.58000 122.21000 Forest 450.00 low
## 581 7.44000 -64.42000 Forest 1333.00 medium
## 582 7.44000 -64.42000 Forest 1333.00 medium
## 583 7.44000 -64.42000 Forest 1333.00 medium
## 584 7.44000 -64.42000 Forest 1333.00 medium
## 585 7.44000 -64.42000 Forest 1333.00 medium
## 586 51.90000 3.70000 Plantation 579.00 low
## 587 51.90000 3.70000 Plantation 579.00 low
## 588 51.90000 3.70000 Plantation 579.00 low
## 589 51.90000 3.70000 Plantation 579.00 low
## 590 51.90000 3.70000 Plantation 579.00 low
## 591 51.90000 3.70000 Plantation 579.00 low
## 592 51.90000 3.70000 Plantation 579.00 low
## 593 51.90000 3.70000 Plantation 579.00 low
## 594 51.90000 3.70000 Plantation 579.00 low
## 595 51.90000 3.70000 Plantation 579.00 low
## 596 51.90000 3.70000 Plantation 579.00 low
## 597 51.90000 3.70000 Plantation 579.00 low
## 598 51.90000 3.70000 Plantation 579.00 low
## 599 51.90000 3.70000 Plantation 579.00 low
## 600 51.90000 3.70000 Plantation 579.00 low
## 601 22.05000 106.86000 Plantation 1300.00 medium
## 602 -25.25000 -48.68000 Forest 2580.00 high
## 603 -25.25000 -48.68000 Forest 2580.00 high
## 604 -25.25000 -48.68000 Forest 2580.00 high
## 605 -25.25000 -48.68000 Forest 2580.00 high
## 606 -25.25000 -48.68000 Forest 2580.00 high
## 607 -25.25000 -48.68000 Forest 2580.00 high
## 608 -25.25000 -48.68000 Forest 2580.00 high
## 609 -25.25000 -48.68000 Forest 2580.00 high
## 610 -25.25000 -48.68000 Forest 2580.00 high
## 611 -25.25000 -48.68000 Forest 2580.00 high
## 612 -25.25000 -48.68000 Forest 2580.00 high
## 613 -25.25000 -48.68000 Forest 2580.00 high
## 614 -25.25000 -48.68000 Forest 2580.00 high
## 615 -25.25000 -48.68000 Forest 2580.00 high
## 616 -25.25000 -48.68000 Forest 2580.00 high
## 617 -25.25000 -48.68000 Forest 2580.00 high
## 618 -25.25000 -48.68000 Forest 2580.00 high
## 619 -25.25000 -48.68000 Forest 2580.00 high
## 620 -25.25000 -48.68000 Forest 2580.00 high
## 621 -25.25000 -48.68000 Forest 2580.00 high
## 622 -25.25000 -48.68000 Forest 2580.00 high
## 623 -25.25000 -48.68000 Forest 2580.00 high
## 624 -25.25000 -48.68000 Forest 2580.00 high
## 625 -25.25000 -48.68000 Forest 2580.00 high
## 626 -25.25000 -48.68000 Forest 2580.00 high
## 627 -25.25000 -48.68000 Forest 2580.00 high
## 628 -25.25000 -48.68000 Forest 2580.00 high
## 629 -25.25000 -48.68000 Forest 2580.00 high
## 630 -25.25000 -48.68000 Forest 2580.00 high
## 631 -25.25000 -48.68000 Forest 2580.00 high
## 632 -25.25000 -48.68000 Forest 2580.00 high
## 633 -25.25000 -48.68000 Forest 2580.00 high
## 634 -25.25000 -48.68000 Forest 2580.00 high
## 635 -25.25000 -48.68000 Forest 2580.00 high
## 636 -25.25000 -48.68000 Forest 2580.00 high
## 637 -25.25000 -48.68000 Forest 2580.00 high
## 638 -25.25000 -48.68000 Forest 2580.00 high
## 639 -25.25000 -48.68000 Forest 2580.00 high
## 640 -25.25000 -48.68000 Forest 2580.00 high
## 641 -25.25000 -48.68000 Forest 2580.00 high
## 642 -25.25000 -48.68000 Forest 2580.00 high
## 643 -25.25000 -48.68000 Forest 2580.00 high
## 644 -25.25000 -48.68000 Forest 2580.00 high
## 645 -25.25000 -48.68000 Forest 2580.00 high
## 646 -25.25000 -48.68000 Forest 2580.00 high
## 647 -25.25000 -48.68000 Forest 2580.00 high
## 648 -25.25000 -48.68000 Forest 2580.00 high
## 649 -25.25000 -48.68000 Forest 2580.00 high
## 650 27.70000 89.15000 Forest 710.00 low
## 651 27.70000 89.15000 Forest 710.00 low
## 652 27.70000 89.15000 Forest 710.00 low
## 653 27.70000 89.15000 Forest 710.00 low
## 654 27.70000 89.15000 Forest 710.00 low
## 655 27.70000 89.15000 Forest 710.00 low
## 656 27.70000 89.15000 Forest 710.00 low
## 657 27.70000 89.15000 Forest 710.00 low
## 658 27.70000 89.15000 Forest 710.00 low
## 659 27.70000 89.15000 Forest 710.00 low
## 660 27.70000 89.15000 Forest 710.00 low
## 661 27.70000 89.15000 Forest 710.00 low
## 662 27.70000 89.15000 Forest 710.00 low
## 663 27.70000 89.15000 Forest 710.00 low
## 664 27.70000 89.15000 Forest 710.00 low
## 665 36.16640 53.71300 Plantation 878.40 low
## 666 36.16640 53.71300 Plantation 878.40 low
## 667 36.16640 53.71300 Plantation 878.40 low
## 668 36.16640 53.71300 Plantation 878.40 low
## 669 36.16640 53.71300 Plantation 878.40 low
## 670 30.57000 88.42000 Grassland 300.00 low
## 671 30.57000 88.42000 Grassland 300.00 low
## 672 30.57000 88.42000 Grassland 300.00 low
## 673 30.57000 88.42000 Grassland 300.00 low
## 674 30.57000 88.42000 Grassland 300.00 low
## 675 30.57000 88.42000 Grassland 300.00 low
## 676 30.57000 88.42000 Grassland 300.00 low
## 677 30.57000 88.42000 Grassland 300.00 low
## 678 30.57000 88.42000 Grassland 300.00 low
## 679 30.57000 88.42000 Grassland 300.00 low
## 680 30.57000 88.42000 Grassland 300.00 low
## 681 48.12000 129.15000 Forest 700.00 low
## 682 48.12000 129.15000 Forest 700.00 low
## 683 48.12000 129.15000 Forest 700.00 low
## 684 48.12000 129.15000 Forest 700.00 low
## 685 48.12000 129.15000 Forest 700.00 low
## 686 48.12000 129.15000 Forest 700.00 low
## 687 29.52000 121.39000 Forest 1374.40 medium
## 688 29.52000 121.39000 Forest 1374.40 medium
## 689 29.52000 121.39000 Forest 1374.40 medium
## 690 29.52000 121.39000 Forest 1374.40 medium
## 691 29.52000 121.39000 Forest 1374.40 medium
## 692 29.52000 121.39000 Forest 1374.40 medium
## 693 29.52000 121.39000 Forest 1374.40 medium
## 694 29.52000 121.39000 Forest 1374.40 medium
## 695 29.52000 121.39000 Forest 1374.40 medium
## 696 29.52000 121.39000 Forest 1374.40 medium
## 697 29.52000 121.39000 Forest 1374.40 medium
## 698 29.52000 121.39000 Forest 1374.40 medium
## 699 29.52000 121.39000 Forest 1374.40 medium
## 700 29.52000 121.39000 Forest 1374.40 medium
## 701 29.52000 121.39000 Forest 1374.40 medium
## 702 29.52000 121.39000 Forest 1374.40 medium
## 703 29.52000 121.39000 Forest 1374.40 medium
## 704 29.52000 121.39000 Forest 1374.40 medium
## 705 29.52000 121.39000 Forest 1374.40 medium
## 706 29.52000 121.39000 Forest 1374.40 medium
## 707 29.52000 121.39000 Forest 1374.40 medium
## 708 29.52000 121.39000 Forest 1374.40 medium
## 709 29.52000 121.39000 Forest 1374.40 medium
## 710 29.52000 121.39000 Forest 1374.40 medium
## 711 29.52000 121.39000 Forest 1374.40 medium
## 712 29.52000 121.39000 Forest 1374.40 medium
## 713 29.52000 121.39000 Forest 1374.40 medium
## 714 31.35000 2.35000 Forest 850.00 low
## 715 31.35000 2.35000 Forest 850.00 low
## 716 31.35000 2.35000 Forest 850.00 low
## 717 68.21000 18.40000 Forest 300.00 low
## 718 68.21000 18.40000 Forest 300.00 low
## 719 68.21000 18.40000 Forest 300.00 low
## 720 68.21000 18.40000 Forest 300.00 low
## 721 68.21000 18.40000 Forest 300.00 low
## 722 68.21000 18.40000 Forest 300.00 low
## 723 68.21000 18.40000 Forest 300.00 low
## 724 68.21000 18.40000 Forest 300.00 low
## 725 68.21000 18.40000 Forest 300.00 low
## 726 68.21000 18.40000 Forest 300.00 low
## 727 68.21000 18.40000 Forest 300.00 low
## 728 68.21000 18.40000 Forest 300.00 low
## 729 68.21000 18.40000 Forest 300.00 low
## 730 68.21000 18.40000 Forest 300.00 low
## 731 68.21000 18.40000 Forest 300.00 low
## 732 68.21000 18.40000 Forest 300.00 low
## 733 68.21000 18.40000 Forest 300.00 low
## 734 68.21000 18.40000 Forest 300.00 low
## 735 68.21000 18.40000 Forest 300.00 low
## 736 68.21000 18.40000 Forest 300.00 low
## 737 23.10000 112.10000 Forest 1927.00 medium
## 738 23.10000 112.10000 Forest 1927.00 medium
## 739 23.10000 112.10000 Forest 1927.00 medium
## 740 23.10000 112.10000 Forest 1927.00 medium
## 741 23.10000 112.10000 Forest 1927.00 medium
## 742 23.10000 112.10000 Forest 1927.00 medium
## 743 23.10000 112.10000 Forest 1927.00 medium
## 744 23.10000 112.10000 Forest 1927.00 medium
## 745 23.10000 112.10000 Forest 1927.00 medium
## 746 23.10000 112.10000 Forest 1927.00 medium
## 747 23.10000 112.10000 Forest 1927.00 medium
## 748 23.10000 112.10000 Forest 1927.00 medium
## 749 23.10000 112.10000 Forest 1927.00 medium
## 750 23.10000 112.10000 Forest 1927.00 medium
## 751 23.10000 112.10000 Forest 1927.00 medium
## 752 23.10000 112.10000 Forest 1927.00 medium
## 753 23.10000 112.10000 Forest 1927.00 medium
## 754 23.10000 112.10000 Forest 1927.00 medium
## 755 23.10000 112.10000 Forest 1927.00 medium
## 756 23.10000 112.10000 Forest 1927.00 medium
## 757 23.10000 112.10000 Forest 1927.00 medium
## 758 23.10000 112.10000 Forest 1927.00 medium
## 759 23.10000 112.10000 Forest 1927.00 medium
## 760 23.10000 112.10000 Forest 1927.00 medium
## 761 23.10000 112.10000 Forest 1927.00 medium
## 762 23.10000 112.10000 Forest 1927.00 medium
## 763 23.10000 112.10000 Forest 1927.00 medium
## 764 40.57000 13.33000 Shrubland 599.00 low
## 765 40.57000 13.33000 Shrubland 599.00 low
## 766 40.57000 13.33000 Shrubland 599.00 low
## 767 40.57000 13.33000 Shrubland 599.00 low
## 768 52.45210 125.48100 Forest 700.00 low
## 769 52.45210 125.48100 Forest 700.00 low
## 770 52.45210 125.48100 Forest 700.00 low
## 771 52.45210 125.48100 Forest 700.00 low
## 772 52.45210 125.48100 Forest 700.00 low
## 773 52.45210 125.48100 Forest 700.00 low
## 774 52.45210 125.48100 Forest 700.00 low
## 775 52.45210 125.48100 Forest 700.00 low
## 776 52.45210 125.48100 Forest 700.00 low
## 777 52.45210 125.48100 Forest 700.00 low
## 778 -31.30000 -64.35000 Forest 800.00 low
## 779 -31.30000 -64.35000 Forest 800.00 low
## 780 -31.30000 -64.35000 Forest 800.00 low
## 781 -31.30000 -64.35000 Forest 800.00 low
## 782 -31.30000 -64.35000 Forest 800.00 low
## 783 -31.30000 -64.35000 Forest 800.00 low
## 784 -31.30000 -64.35000 Forest 800.00 low
## 785 -31.30000 -64.35000 Forest 800.00 low
## 786 -31.30000 -64.35000 Forest 800.00 low
## 787 -31.30000 -64.35000 Forest 800.00 low
## 788 -31.30000 -64.35000 Forest 800.00 low
## 789 -31.30000 -64.35000 Forest 800.00 low
## 790 -31.30000 -64.35000 Forest 800.00 low
## 791 -31.30000 -64.35000 Forest 800.00 low
## 792 -31.30000 -64.35000 Forest 800.00 low
## 793 -31.30000 -64.35000 Forest 800.00 low
## 794 -31.30000 -64.35000 Forest 800.00 low
## 795 -31.30000 -64.35000 Forest 800.00 low
## 796 -31.30000 -64.35000 Forest 800.00 low
## 797 -31.30000 -64.35000 Forest 800.00 low
## 798 -31.30000 -64.35000 Forest 800.00 low
## 799 -31.30000 -64.35000 Forest 800.00 low
## 800 -31.30000 -64.35000 Forest 800.00 low
## 801 -31.30000 -64.35000 Forest 800.00 low
## 802 -31.30000 -64.35000 Forest 800.00 low
## 803 -31.30000 -64.35000 Forest 800.00 low
## 804 49.20000 119.58000 Grassland 1740.00 medium
## 805 49.20000 119.58000 Grassland 1740.00 medium
## 806 49.20000 119.58000 Grassland 1740.00 medium
## 807 49.20000 119.58000 Grassland 1740.00 medium
## 808 49.20000 119.58000 Grassland 1740.00 medium
## 809 49.20000 119.58000 Grassland 1740.00 medium
## 810 49.20000 119.58000 Grassland 1740.00 medium
## 811 49.20000 119.58000 Grassland 1740.00 medium
## 812 49.20000 119.58000 Grassland 1740.00 medium
## 813 49.20000 119.58000 Grassland 1740.00 medium
## 814 49.20000 119.58000 Grassland 1740.00 medium
## 815 49.20000 119.58000 Grassland 1740.00 medium
## 816 22.34000 112.50000 Plantation 1700.00 medium
## 817 22.34000 112.50000 Plantation 1700.00 medium
## 818 22.34000 112.50000 Plantation 1700.00 medium
## 819 22.34000 112.50000 Plantation 1700.00 medium
## 820 22.34000 112.50000 Plantation 1700.00 medium
## 821 22.34000 112.50000 Plantation 1700.00 medium
## 822 22.34000 112.50000 Plantation 1700.00 medium
## 823 22.34000 112.50000 Plantation 1700.00 medium
## 824 22.34000 112.50000 Plantation 1700.00 medium
## 825 22.34000 112.50000 Plantation 1700.00 medium
## 826 22.34000 112.50000 Plantation 1700.00 medium
## 827 22.34000 112.50000 Plantation 1700.00 medium
## 828 22.34000 112.50000 Plantation 1700.00 medium
## 829 22.34000 112.50000 Plantation 1700.00 medium
## 830 22.34000 112.50000 Plantation 1700.00 medium
## 831 22.34000 112.50000 Plantation 1700.00 medium
## 832 22.34000 112.50000 Plantation 1700.00 medium
## 833 22.34000 112.50000 Plantation 1700.00 medium
## 834 22.34000 112.50000 Plantation 1700.00 medium
## 835 22.34000 112.50000 Plantation 1700.00 medium
## 836 22.34000 112.50000 Plantation 1700.00 medium
## 837 22.34000 112.50000 Plantation 1700.00 medium
## 838 22.34000 112.50000 Plantation 1700.00 medium
## 839 22.34000 112.50000 Plantation 1700.00 medium
## 840 22.34000 112.50000 Plantation 1700.00 medium
## 841 22.34000 112.50000 Plantation 1700.00 medium
## 842 22.34000 112.50000 Plantation 1700.00 medium
## 843 22.34000 112.50000 Plantation 1700.00 medium
## 844 22.34000 112.50000 Plantation 1700.00 medium
## 845 22.34000 112.50000 Plantation 1700.00 medium
## 846 22.34000 112.50000 Plantation 1700.00 medium
## 847 22.34000 112.50000 Plantation 1700.00 medium
## 848 22.34000 112.50000 Plantation 1700.00 medium
## 849 22.34000 112.50000 Plantation 1700.00 medium
## 850 22.34000 112.50000 Plantation 1700.00 medium
## 851 22.34000 112.50000 Plantation 1700.00 medium
## 852 22.34000 112.50000 Plantation 1700.00 medium
## 853 22.34000 112.50000 Plantation 1700.00 medium
## 854 22.34000 112.50000 Plantation 1700.00 medium
## 855 22.34000 112.50000 Plantation 1700.00 medium
## 856 22.34000 112.50000 Plantation 1700.00 medium
## 857 22.34000 112.50000 Plantation 1700.00 medium
## 858 22.34000 112.50000 Plantation 1700.00 medium
## 859 22.34000 112.50000 Plantation 1700.00 medium
## 860 42.02000 116.17000 Grassland 1700.00 medium
## 861 42.02000 116.17000 Grassland 1700.00 medium
## 862 42.02000 116.17000 Grassland 1700.00 medium
## 863 42.02000 116.17000 Grassland 1700.00 medium
## 864 42.02000 116.17000 Grassland 1700.00 medium
## 865 42.02000 116.17000 Grassland 1700.00 medium
## 866 42.02000 116.17000 Grassland 1700.00 medium
## 867 42.02000 116.17000 Grassland 1700.00 medium
## Annual_temp Regional_climate climatic_region SOM
## 1 6.1 subalpine climate Temperate N/A
## 2 6.1 subalpine climate Temperate N/A
## 3 6.1 subalpine climate Temperate N/A
## 4 6.1 subalpine climate Temperate N/A
## 5 6.1 subalpine climate Temperate N/A
## 6 6.1 subalpine climate Temperate N/A
## 7 6.1 subalpine climate Temperate N/A
## 8 6.1 subalpine climate Temperate N/A
## 9 6.1 subalpine climate Temperate N/A
## 10 6.1 subalpine climate Temperate N/A
## 11 6.1 subalpine climate Temperate N/A
## 12 6.1 subalpine climate Temperate N/A
## 13 6.1 subalpine climate Temperate N/A
## 14 6.1 subalpine climate Temperate N/A
## 15 6.1 subalpine climate Temperate N/A
## 16 6.1 subalpine climate Temperate N/A
## 17 6.1 subalpine climate Temperate N/A
## 18 6.1 subalpine climate Temperate N/A
## 19 6.1 subalpine climate Temperate N/A
## 20 6.1 subalpine climate Temperate N/A
## 21 6.1 subalpine climate Temperate N/A
## 22 6.1 subalpine climate Temperate N/A
## 23 6.1 subalpine climate Temperate N/A
## 24 6.1 subalpine climate Temperate N/A
## 25 4.7 continental monsoon climate with Temperate N/A
## 26 4.7 continental monsoon climate with Temperate N/A
## 27 4.7 continental monsoon climate with Temperate N/A
## 28 4.7 continental monsoon climate with Temperate N/A
## 29 4.7 continental monsoon climate with Temperate N/A
## 30 4.7 continental monsoon climate with Temperate N/A
## 31 4.7 continental monsoon climate with Temperate N/A
## 32 4.7 continental monsoon climate with Temperate N/A
## 33 4.7 continental monsoon climate with Temperate N/A
## 34 4.7 continental monsoon climate with Temperate N/A
## 35 4.7 continental monsoon climate with Temperate N/A
## 36 4.7 continental monsoon climate with Temperate N/A
## 37 4.7 continental monsoon climate with Temperate N/A
## 38 4.7 continental monsoon climate with Temperate N/A
## 39 4.7 continental monsoon climate with Temperate N/A
## 40 4.7 continental monsoon climate with Temperate N/A
## 41 4.7 continental monsoon climate with Temperate N/A
## 42 4.7 continental monsoon climate with Temperate N/A
## 43 3 Temperate Temperate N/A
## 44 3 Temperate Temperate N/A
## 45 3 Temperate Temperate N/A
## 46 3 Temperate Temperate N/A
## 47 3 Temperate Temperate N/A
## 48 3 Temperate Temperate N/A
## 49 3 Temperate Temperate N/A
## 50 3 Temperate Temperate N/A
## 51 3 Temperate Temperate N/A
## 52 3 Temperate Temperate N/A
## 53 3 Temperate Temperate N/A
## 54 3 Temperate Temperate N/A
## 55 3 Temperate Temperate N/A
## 56 3 Temperate Temperate N/A
## 57 3 Temperate Temperate N/A
## 58 3 Temperate Temperate N/A
## 59 N/A N/A Temperate N/A
## 60 N/A N/A Temperate N/A
## 61 25.7 tropical wet climate Tropics N/A
## 62 25.7 tropical wet climate Tropics N/A
## 63 25.7 tropical wet climate Tropics N/A
## 64 25.7 tropical wet climate Tropics N/A
## 65 25.7 tropical wet climate Tropics N/A
## 66 25.7 tropical wet climate Tropics N/A
## 67 25.7 tropical wet climate Tropics N/A
## 68 25.7 tropical wet climate Tropics N/A
## 69 25.7 tropical wet climate Tropics N/A
## 70 25.7 tropical wet climate Tropics N/A
## 71 25.7 tropical wet climate Tropics N/A
## 72 25.7 tropical wet climate Tropics N/A
## 73 25.7 tropical wet climate Tropics N/A
## 74 25.7 tropical wet climate Tropics N/A
## 75 25.7 tropical wet climate Tropics N/A
## 76 25.7 tropical wet climate Tropics N/A
## 77 25.7 tropical wet climate Tropics N/A
## 78 25.7 tropical wet climate Tropics N/A
## 79 25.7 tropical wet climate Tropics N/A
## 80 25.7 tropical wet climate Tropics N/A
## 81 25.7 tropical wet climate Tropics N/A
## 82 25.7 tropical wet climate Tropics N/A
## 83 25.7 tropical wet climate Tropics N/A
## 84 25.7 tropical wet climate Tropics N/A
## 85 25.7 tropical wet climate Tropics N/A
## 86 25.7 tropical wet climate Tropics N/A
## 87 25.7 tropical wet climate Tropics N/A
## 88 25.7 tropical wet climate Tropics N/A
## 89 15.7 N/A Tropics N/A
## 90 15.7 N/A Tropics N/A
## 91 15.7 N/A Tropics N/A
## 92 8 Temprate climate Temperate N/A
## 93 8 Temprate climate Temperate N/A
## 94 8 Temprate climate Temperate N/A
## 95 8 Temprate climate Temperate N/A
## 96 8 Temprate climate Temperate N/A
## 97 8 Temprate climate Temperate N/A
## 98 –6.1 humid sub-alpine Temperate N/A
## 99 –6.1 humid sub-alpine Temperate N/A
## 100 –6.1 humid sub-alpine Temperate N/A
## 101 –6.1 humid sub-alpine Temperate N/A
## 102 –6.1 humid sub-alpine Temperate N/A
## 103 –6.1 humid sub-alpine Temperate N/A
## 104 –6.1 humid sub-alpine Temperate N/A
## 105 –6.1 humid sub-alpine Temperate N/A
## 106 –6.1 humid sub-alpine Temperate N/A
## 107 –6.1 humid sub-alpine Temperate N/A
## 108 –6.1 humid sub-alpine Temperate N/A
## 109 –6.1 humid sub-alpine Temperate N/A
## 110 –6.1 humid sub-alpine Temperate N/A
## 111 –6.1 humid sub-alpine Temperate N/A
## 112 –6.1 humid sub-alpine Temperate N/A
## 113 –6.1 humid sub-alpine Temperate N/A
## 114 –6.1 humid sub-alpine Temperate N/A
## 115 –6.1 humid sub-alpine Temperate N/A
## 116 –6.1 humid sub-alpine Temperate N/A
## 117 –6.1 humid sub-alpine Temperate N/A
## 118 –6.1 humid sub-alpine Temperate N/A
## 119 –6.1 humid sub-alpine Temperate N/A
## 120 –6.1 humid sub-alpine Temperate N/A
## 121 –6.1 humid sub-alpine Temperate N/A
## 122 11.8 temperate/warm Temperate 1.05
## 123 11.8 temperate/warm Temperate 1.05
## 124 11.8 temperate/warm Temperate 1.05
## 125 11.8 temperate/warm Temperate 1.05
## 126 11.8 temperate/warm Temperate 1.05
## 127 11.8 temperate/warm Temperate 1.05
## 128 11.8 temperate/warm Temperate 1.05
## 129 11.8 temperate/warm Temperate 1.05
## 130 11.8 temperate/warm Temperate 1.05
## 131 11.8 temperate/warm Temperate 1.05
## 132 11.8 temperate/warm Temperate 1.05
## 133 11.8 temperate/warm Temperate 1.05
## 134 11.8 temperate/warm Temperate 1.05
## 135 11.8 temperate/warm Temperate 1.05
## 136 11.8 temperate/warm Temperate 1.05
## 137 N/A Arid and semi arid Temperate N/A
## 138 N/A Arid and semi arid Temperate N/A
## 139 N/A Arid and semi arid Temperate N/A
## 140 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 141 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 142 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 143 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 144 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 145 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 146 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 147 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 148 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 149 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 150 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 151 16.4 subtropical monsoon humid climate Sub-tropics N/A
## 152 -0.2 Tudra climate Temperate N/A
## 153 -0.2 Tudra climate Temperate N/A
## 154 -0.2 Tudra climate Temperate N/A
## 155 -0.2 Tudra climate Temperate N/A
## 156 -0.2 Tudra climate Temperate N/A
## 157 -0.2 Tudra climate Temperate N/A
## 158 -0.2 Tudra climate Temperate N/A
## 159 -0.2 Tudra climate Temperate N/A
## 160 -0.2 Tudra climate Temperate N/A
## 161 -0.2 Tudra climate Temperate N/A
## 162 -0.2 Tudra climate Temperate N/A
## 163 -0.2 Tudra climate Temperate N/A
## 164 -0.2 Tudra climate Temperate N/A
## 165 -0.2 Tudra climate Temperate N/A
## 166 -0.2 Tudra climate Temperate N/A
## 167 -0.2 Tudra climate Temperate N/A
## 168 -0.2 Tudra climate Temperate N/A
## 169 -0.2 Tudra climate Temperate N/A
## 170 -0.2 Tudra climate Temperate N/A
## 171 -0.2 Tudra climate Temperate N/A
## 172 -0.2 Tudra climate Temperate N/A
## 173 -0.2 Tudra climate Temperate N/A
## 174 -0.2 Tudra climate Temperate N/A
## 175 -0.2 Tudra climate Temperate N/A
## 176 15.5 N/A Sub-tropics N/A
## 177 15.5 N/A Sub-tropics N/A
## 178 15.5 N/A Sub-tropics N/A
## 179 15.5 N/A Sub-tropics N/A
## 180 15.5 N/A Sub-tropics N/A
## 181 15.5 N/A Sub-tropics N/A
## 182 15.5 N/A Sub-tropics N/A
## 183 15.5 N/A Sub-tropics N/A
## 184 28 Topical savanna Tropics N/A
## 185 28 Topical savanna Tropics N/A
## 186 28 Topical savanna Tropics N/A
## 187 28 Topical savanna Tropics N/A
## 188 28 Topical savanna Tropics N/A
## 189 28 Topical savanna Tropics N/A
## 190 9 N/A Temperate N/A
## 191 9 N/A Temperate N/A
## 192 9 N/A Temperate N/A
## 193 9 N/A Temperate N/A
## 194 15.8 Humid subtropical Sub-tropics N/A
## 195 15.8 Humid subtropical Sub-tropics N/A
## 196 15.8 Humid subtropical Sub-tropics N/A
## 197 15.8 Humid subtropical Sub-tropics N/A
## 198 15.8 Humid subtropical Sub-tropics N/A
## 199 15.8 Humid subtropical Sub-tropics N/A
## 200 2.6 N/A Temperate N/A
## 201 2.6 N/A Temperate N/A
## 202 2.6 N/A Temperate N/A
## 203 2.6 N/A Temperate N/A
## 204 2.6 N/A Temperate N/A
## 205 2.6 N/A Temperate N/A
## 206 2.6 N/A Temperate N/A
## 207 2.6 N/A Temperate N/A
## 208 2.6 N/A Temperate N/A
## 209 2.6 N/A Temperate N/A
## 210 10 N/A Temperate N/A
## 211 10 N/A Temperate N/A
## 212 10 N/A Temperate N/A
## 213 10 N/A Temperate N/A
## 214 10 N/A Temperate N/A
## 215 10 N/A Temperate N/A
## 216 N/A N/A Sub-tropics N/A
## 217 N/A N/A Sub-tropics N/A
## 218 N/A N/A Sub-tropics N/A
## 219 N/A N/A Sub-tropics N/A
## 220 N/A N/A Sub-tropics N/A
## 221 N/A N/A Sub-tropics N/A
## 222 9 N/A Temperate N/A
## 223 9 N/A Temperate N/A
## 224 9 N/A Temperate N/A
## 225 9 N/A Temperate N/A
## 226 18 subtropica Sub-tropics N/A
## 227 18 subtropica Sub-tropics N/A
## 228 18 subtropica Sub-tropics N/A
## 229 18 subtropica Sub-tropics N/A
## 230 18 subtropica Sub-tropics N/A
## 231 18 subtropica Sub-tropics N/A
## 232 18 subtropica Sub-tropics N/A
## 233 18 subtropica Sub-tropics N/A
## 234 18 subtropica Sub-tropics N/A
## 235 18 subtropica Sub-tropics N/A
## 236 18 subtropica Sub-tropics N/A
## 237 18 subtropica Sub-tropics N/A
## 238 18 subtropica Sub-tropics N/A
## 239 18 subtropica Sub-tropics N/A
## 240 18 subtropica Sub-tropics N/A
## 241 18 subtropica Sub-tropics N/A
## 242 18 subtropica Sub-tropics N/A
## 243 18 subtropica Sub-tropics N/A
## 244 18 subtropica Sub-tropics N/A
## 245 18 subtropica Sub-tropics N/A
## 246 18 subtropica Sub-tropics N/A
## 247 18 subtropica Sub-tropics N/A
## 248 18 subtropica Sub-tropics N/A
## 249 18 subtropica Sub-tropics N/A
## 250 18 subtropica Sub-tropics N/A
## 251 18 subtropica Sub-tropics N/A
## 252 18 subtropica Sub-tropics N/A
## 253 18 subtropica Sub-tropics N/A
## 254 18 subtropica Sub-tropics N/A
## 255 18 subtropica Sub-tropics N/A
## 256 18 subtropica Sub-tropics N/A
## 257 18 subtropica Sub-tropics N/A
## 258 18 subtropica Sub-tropics N/A
## 259 15.25 equitorial tropical climate Tropics N/A
## 260 15.25 equitorial tropical climate Tropics N/A
## 261 15.25 equitorial tropical climate Tropics N/A
## 262 15.25 equitorial tropical climate Tropics N/A
## 263 15.25 equitorial tropical climate Tropics N/A
## 264 10.9 continental monsoon climate Sub-tropics N/A
## 265 10.9 continental monsoon climate Sub-tropics N/A
## 266 10.9 continental monsoon climate Sub-tropics N/A
## 267 10.9 continental monsoon climate Sub-tropics N/A
## 268 10.9 continental monsoon climate Sub-tropics N/A
## 269 10.9 continental monsoon climate Sub-tropics N/A
## 270 10.9 continental monsoon climate Sub-tropics N/A
## 271 10.9 continental monsoon climate Sub-tropics N/A
## 272 10.9 continental monsoon climate Sub-tropics N/A
## 273 10.9 continental monsoon climate Sub-tropics N/A
## 274 10.9 continental monsoon climate Sub-tropics N/A
## 275 10.9 continental monsoon climate Sub-tropics N/A
## 276 10.9 continental monsoon climate Sub-tropics N/A
## 277 10.9 continental monsoon climate Sub-tropics N/A
## 278 10.9 continental monsoon climate Sub-tropics N/A
## 279 10.9 continental monsoon climate Sub-tropics N/A
## 280 10.9 continental monsoon climate Sub-tropics N/A
## 281 10.9 continental monsoon climate Sub-tropics N/A
## 282 10.9 continental monsoon climate Sub-tropics N/A
## 283 10.9 continental monsoon climate Sub-tropics N/A
## 284 10.9 continental monsoon climate Sub-tropics N/A
## 285 10.9 continental monsoon climate Sub-tropics N/A
## 286 10.9 continental monsoon climate Sub-tropics N/A
## 287 10.9 continental monsoon climate Sub-tropics N/A
## 288 10.9 continental monsoon climate Sub-tropics N/A
## 289 10.9 continental monsoon climate Sub-tropics N/A
## 290 10.9 continental monsoon climate Sub-tropics N/A
## 291 10.9 continental monsoon climate Sub-tropics N/A
## 292 10.9 continental monsoon climate Sub-tropics N/A
## 293 10.9 continental monsoon climate Sub-tropics N/A
## 294 10.9 continental monsoon climate Sub-tropics N/A
## 295 10.9 continental monsoon climate Sub-tropics N/A
## 296 10.9 continental monsoon climate Sub-tropics N/A
## 297 10.9 continental monsoon climate Sub-tropics N/A
## 298 10.9 continental monsoon climate Sub-tropics N/A
## 299 10.9 continental monsoon climate Sub-tropics N/A
## 300 21 subtropical monsoon Sub-tropics N/A
## 301 21 subtropical monsoon Sub-tropics N/A
## 302 21 subtropical monsoon Sub-tropics N/A
## 303 21 subtropical monsoon Sub-tropics N/A
## 304 21 subtropical monsoon Sub-tropics N/A
## 305 21 subtropical monsoon Sub-tropics N/A
## 306 21 subtropical monsoon Sub-tropics N/A
## 307 4.7 Temperate subalpine climate Temperate N/A
## 308 4.7 Temperate subalpine climate Temperate N/A
## 309 4.7 Temperate subalpine climate Temperate N/A
## 310 4.7 Temperate subalpine climate Temperate N/A
## 311 4.7 Temperate subalpine climate Temperate N/A
## 312 4.7 Temperate subalpine climate Temperate N/A
## 313 7.3 continental monsoon Mountain Temperate N/A
## 314 7.3 continental monsoon Mountain Temperate N/A
## 315 7.3 continental monsoon Mountain Temperate N/A
## 316 7.3 continental monsoon Mountain Temperate 1.325
## 317 7.3 continental monsoon Mountain Temperate 1.325
## 318 7.3 continental monsoon Mountain Temperate 1.325
## 319 7.3 continental monsoon Mountain Temperate 1.325
## 320 7.3 continental monsoon Mountain Temperate 1.325
## 321 12.7 Mediterranian climate Temperate N/A
## 322 12.7 Mediterranian climate Temperate N/A
## 323 12.7 Mediterranian climate Temperate N/A
## 324 12.7 Mediterranian climate Temperate N/A
## 325 12.7 Mediterranian climate Temperate N/A
## 326 12.7 Mediterranian climate Temperate N/A
## 327 12.7 Mediterranian climate Temperate N/A
## 328 12.7 Mediterranian climate Temperate N/A
## 329 12.7 Mediterranian climate Temperate N/A
## 330 12.7 Mediterranian climate Temperate N/A
## 331 12.7 Mediterranian climate Temperate N/A
## 332 12.7 Mediterranian climate Temperate N/A
## 333 12.7 Mediterranian climate Temperate N/A
## 334 12.7 Mediterranian climate Temperate N/A
## 335 12.7 Mediterranian climate Temperate N/A
## 336 12.7 Mediterranian climate Temperate N/A
## 337 12.7 Mediterranian climate Temperate N/A
## 338 12.7 Mediterranian climate Temperate N/A
## 339 12.7 Mediterranian climate Temperate N/A
## 340 12.7 Mediterranian climate Temperate N/A
## 341 12.7 Mediterranian climate Temperate N/A
## 342 12.7 Mediterranian climate Temperate N/A
## 343 18 humid subtropical climate Sub-tropics N/A
## 344 18 humid subtropical climate Sub-tropics N/A
## 345 18 humid subtropical climate Sub-tropics N/A
## 346 18 humid subtropical climate Sub-tropics N/A
## 347 23 Tropical monsoon Tropics N/A
## 348 23 Tropical monsoon Tropics N/A
## 349 6.4 Temperate semi arid Temperate N/A
## 350 6.4 Temperate semi arid Temperate N/A
## 351 6.4 Temperate semi arid Temperate N/A
## 352 6.4 Temperate semi arid Temperate N/A
## 353 6.4 Temperate semi arid Temperate N/A
## 354 6.4 Temperate semi arid Temperate N/A
## 355 6.4 Temperate semi arid Temperate N/A
## 356 6.4 Temperate semi arid Temperate N/A
## 357 6.4 Temperate semi arid Temperate N/A
## 358 6.4 Temperate semi arid Temperate N/A
## 359 6.4 Temperate semi arid Temperate N/A
## 360 6.4 Temperate semi arid Temperate N/A
## 361 3 Temperate Temperate N/A
## 362 3 Temperate Temperate N/A
## 363 3 Temperate Temperate N/A
## 364 3 Temperate Temperate N/A
## 365 3 Temperate Temperate N/A
## 366 3 Temperate Temperate N/A
## 367 3 Temperate Temperate N/A
## 368 3 Temperate Temperate N/A
## 369 3 Temperate Temperate N/A
## 370 3 Temperate Temperate N/A
## 371 3 Temperate Temperate N/A
## 372 3 Temperate Temperate N/A
## 373 N/A N/A Temperate N/A
## 374 N/A N/A Temperate N/A
## 375 N/A N/A Temperate N/A
## 376 N/A N/A Temperate N/A
## 377 N/A N/A Temperate N/A
## 378 N/A N/A Temperate N/A
## 379 N/A N/A Temperate N/A
## 380 N/A N/A Temperate N/A
## 381 N/A N/A Temperate N/A
## 382 N/A N/A Temperate N/A
## 383 N/A N/A Temperate N/A
## 384 N/A N/A Temperate N/A
## 385 N/A N/A Temperate N/A
## 386 N/A N/A Temperate N/A
## 387 N/A N/A Temperate N/A
## 388 N/A N/A Temperate N/A
## 389 N/A N/A Temperate N/A
## 390 N/A N/A Temperate N/A
## 391 N/A N/A Temperate N/A
## 392 N/A N/A Temperate N/A
## 393 N/A N/A Temperate N/A
## 394 N/A N/A Temperate N/A
## 395 N/A N/A Temperate N/A
## 396 N/A N/A Temperate N/A
## 397 N/A N/A Temperate N/A
## 398 N/A N/A Temperate N/A
## 399 N/A N/A Temperate N/A
## 400 N/A N/A Temperate N/A
## 401 N/A N/A Temperate N/A
## 402 N/A N/A Temperate N/A
## 403 N/A N/A Temperate N/A
## 404 N/A N/A Temperate N/A
## 405 N/A N/A Temperate N/A
## 406 N/A N/A Temperate N/A
## 407 N/A N/A Temperate N/A
## 408 N/A N/A Temperate N/A
## 409 N/A N/A Temperate N/A
## 410 N/A N/A Temperate N/A
## 411 N/A N/A Temperate N/A
## 412 N/A N/A Temperate N/A
## 413 N/A N/A Temperate N/A
## 414 N/A N/A Temperate N/A
## 415 N/A N/A Temperate N/A
## 416 N/A N/A Temperate N/A
## 417 N/A N/A Temperate N/A
## 418 N/A N/A Temperate N/A
## 419 N/A N/A Temperate N/A
## 420 N/A N/A Temperate N/A
## 421 N/A N/A Temperate N/A
## 422 N/A N/A Temperate N/A
## 423 N/A N/A Temperate N/A
## 424 N/A N/A Temperate N/A
## 425 N/A N/A Temperate N/A
## 426 N/A N/A Temperate N/A
## 427 N/A N/A Temperate N/A
## 428 N/A N/A Temperate N/A
## 429 N/A N/A Temperate N/A
## 430 N/A N/A Temperate N/A
## 431 N/A N/A Temperate N/A
## 432 N/A N/A Temperate N/A
## 433 N/A N/A Temperate N/A
## 434 N/A N/A Temperate N/A
## 435 N/A N/A Temperate N/A
## 436 N/A N/A Temperate N/A
## 437 N/A N/A Temperate N/A
## 438 N/A N/A Temperate N/A
## 439 N/A N/A Temperate N/A
## 440 N/A N/A Temperate N/A
## 441 N/A N/A Temperate N/A
## 442 N/A N/A Temperate N/A
## 443 N/A N/A Temperate N/A
## 444 N/A N/A Temperate N/A
## 445 N/A N/A Temperate N/A
## 446 N/A N/A Temperate N/A
## 447 N/A N/A Temperate N/A
## 448 N/A N/A Temperate N/A
## 449 N/A N/A Temperate N/A
## 450 N/A N/A Temperate N/A
## 451 N/A N/A Temperate N/A
## 452 N/A N/A Temperate N/A
## 453 N/A N/A Temperate N/A
## 454 N/A N/A Temperate N/A
## 455 N/A N/A Temperate N/A
## 456 N/A N/A Temperate N/A
## 457 N/A N/A Temperate N/A
## 458 N/A N/A Temperate N/A
## 459 N/A N/A Temperate N/A
## 460 N/A N/A Temperate N/A
## 461 N/A N/A Temperate N/A
## 462 N/A N/A Temperate N/A
## 463 N/A N/A Temperate N/A
## 464 N/A N/A Temperate N/A
## 465 N/A N/A Temperate N/A
## 466 N/A N/A Temperate N/A
## 467 N/A N/A Temperate N/A
## 468 N/A N/A Temperate N/A
## 469 N/A N/A Temperate N/A
## 470 N/A N/A Temperate N/A
## 471 N/A N/A Temperate N/A
## 472 N/A N/A Temperate N/A
## 473 N/A N/A Temperate N/A
## 474 N/A N/A Temperate N/A
## 475 N/A N/A Temperate N/A
## 476 N/A N/A Temperate N/A
## 477 N/A N/A Temperate N/A
## 478 N/A N/A Temperate N/A
## 479 N/A N/A Temperate N/A
## 480 N/A N/A Temperate N/A
## 481 N/A N/A Temperate N/A
## 482 N/A N/A Temperate N/A
## 483 N/A N/A Temperate N/A
## 484 N/A N/A Temperate N/A
## 485 N/A N/A Temperate N/A
## 486 N/A N/A Temperate N/A
## 487 N/A N/A Temperate N/A
## 488 N/A N/A Temperate N/A
## 489 N/A N/A Temperate N/A
## 490 N/A N/A Temperate N/A
## 491 N/A N/A Temperate N/A
## 492 N/A N/A Temperate N/A
## 493 N/A N/A Temperate N/A
## 494 N/A N/A Temperate N/A
## 495 N/A N/A Temperate N/A
## 496 N/A N/A Temperate N/A
## 497 N/A N/A Temperate N/A
## 498 N/A N/A Temperate N/A
## 499 N/A N/A Temperate N/A
## 500 N/A N/A Temperate N/A
## 501 N/A N/A Temperate N/A
## 502 N/A N/A Temperate N/A
## 503 N/A N/A Temperate N/A
## 504 N/A N/A Temperate N/A
## 505 N/A N/A Temperate N/A
## 506 N/A N/A Temperate N/A
## 507 N/A N/A Temperate N/A
## 508 N/A N/A Temperate N/A
## 509 N/A N/A Temperate N/A
## 510 N/A N/A Temperate N/A
## 511 N/A N/A Temperate N/A
## 512 N/A N/A Temperate N/A
## 513 N/A N/A Temperate N/A
## 514 N/A N/A Temperate N/A
## 515 N/A N/A Temperate N/A
## 516 N/A N/A Temperate N/A
## 517 N/A N/A Temperate N/A
## 518 N/A N/A Temperate N/A
## 519 N/A N/A Temperate N/A
## 520 N/A N/A Temperate N/A
## 521 N/A N/A Temperate N/A
## 522 N/A N/A Temperate N/A
## 523 N/A N/A Temperate N/A
## 524 N/A N/A Temperate N/A
## 525 N/A N/A Temperate N/A
## 526 N/A N/A Temperate N/A
## 527 N/A N/A Temperate N/A
## 528 N/A N/A Temperate N/A
## 529 N/A N/A Temperate N/A
## 530 N/A N/A Temperate N/A
## 531 N/A N/A Temperate N/A
## 532 N/A N/A Temperate N/A
## 533 N/A N/A Temperate N/A
## 534 N/A N/A Temperate N/A
## 535 N/A N/A Temperate N/A
## 536 N/A N/A Temperate N/A
## 537 N/A N/A Temperate N/A
## 538 N/A N/A Temperate N/A
## 539 N/A N/A Temperate N/A
## 540 N/A N/A Temperate N/A
## 541 N/A N/A Temperate N/A
## 542 N/A N/A Temperate N/A
## 543 N/A N/A Temperate N/A
## 544 N/A N/A Temperate N/A
## 545 N/A N/A Temperate N/A
## 546 N/A N/A Temperate N/A
## 547 N/A N/A Temperate N/A
## 548 N/A N/A Temperate N/A
## 549 N/A N/A Temperate N/A
## 550 N/A N/A Temperate N/A
## 551 N/A N/A Temperate N/A
## 552 N/A N/A Temperate N/A
## 553 N/A N/A Temperate N/A
## 554 N/A N/A Temperate N/A
## 555 N/A N/A Temperate N/A
## 556 N/A N/A Temperate N/A
## 557 N/A N/A Temperate N/A
## 558 N/A N/A Temperate N/A
## 559 N/A N/A Temperate N/A
## 560 N/A N/A Temperate N/A
## 561 N/A N/A Temperate N/A
## 562 N/A N/A Temperate N/A
## 563 N/A N/A Temperate N/A
## 564 N/A N/A Temperate N/A
## 565 N/A N/A Temperate N/A
## 566 N/A N/A Temperate N/A
## 567 N/A N/A Temperate N/A
## 568 N/A N/A Temperate N/A
## 569 N/A N/A Temperate N/A
## 570 N/A N/A Temperate N/A
## 571 N/A N/A Temperate N/A
## 572 N/A N/A Temperate N/A
## 573 N/A N/A Temperate N/A
## 574 N/A N/A Temperate N/A
## 575 N/A N/A Temperate N/A
## 576 N/A N/A Temperate N/A
## 577 N/A N/A Temperate N/A
## 578 N/A N/A Temperate N/A
## 579 6.4 Temperate Temperate N/A
## 580 6.4 Temperate Temperate N/A
## 581 27.4 Tropical Tropics N/A
## 582 27.4 Tropical Tropics N/A
## 583 27.4 Tropical Tropics N/A
## 584 27.4 Tropical Tropics N/A
## 585 27.4 Tropical Tropics N/A
## 586 N/A N/A Temperate N/A
## 587 N/A N/A Temperate N/A
## 588 N/A N/A Temperate N/A
## 589 N/A N/A Temperate N/A
## 590 N/A N/A Temperate N/A
## 591 N/A N/A Temperate N/A
## 592 N/A N/A Temperate N/A
## 593 N/A N/A Temperate N/A
## 594 N/A N/A Temperate N/A
## 595 N/A N/A Temperate N/A
## 596 N/A N/A Temperate N/A
## 597 N/A N/A Temperate N/A
## 598 N/A N/A Temperate N/A
## 599 N/A N/A Temperate N/A
## 600 N/A N/A Temperate N/A
## 601 22.3 Subtropical monsoon climate Sub-tropics
## 602 N/A N/A Sub-tropics N/A
## 603 N/A N/A Sub-tropics N/A
## 604 N/A N/A Sub-tropics N/A
## 605 N/A N/A Sub-tropics N/A
## 606 N/A N/A Sub-tropics N/A
## 607 N/A N/A Sub-tropics N/A
## 608 N/A N/A Sub-tropics N/A
## 609 N/A N/A Sub-tropics N/A
## 610 N/A N/A Sub-tropics N/A
## 611 N/A N/A Sub-tropics N/A
## 612 N/A N/A Sub-tropics N/A
## 613 N/A N/A Sub-tropics N/A
## 614 N/A N/A Sub-tropics N/A
## 615 N/A N/A Sub-tropics N/A
## 616 N/A N/A Sub-tropics N/A
## 617 N/A N/A Sub-tropics N/A
## 618 N/A N/A Sub-tropics N/A
## 619 N/A N/A Sub-tropics N/A
## 620 N/A N/A Sub-tropics N/A
## 621 N/A N/A Sub-tropics N/A
## 622 N/A N/A Sub-tropics N/A
## 623 N/A N/A Sub-tropics N/A
## 624 N/A N/A Sub-tropics N/A
## 625 N/A N/A Sub-tropics N/A
## 626 N/A N/A Sub-tropics N/A
## 627 N/A N/A Sub-tropics N/A
## 628 N/A N/A Sub-tropics N/A
## 629 N/A N/A Sub-tropics N/A
## 630 N/A N/A Sub-tropics N/A
## 631 N/A N/A Sub-tropics N/A
## 632 N/A N/A Sub-tropics N/A
## 633 N/A N/A Sub-tropics N/A
## 634 N/A N/A Sub-tropics N/A
## 635 N/A N/A Sub-tropics N/A
## 636 N/A N/A Sub-tropics N/A
## 637 N/A N/A Sub-tropics N/A
## 638 N/A N/A Sub-tropics N/A
## 639 N/A N/A Sub-tropics N/A
## 640 N/A N/A Sub-tropics N/A
## 641 N/A N/A Sub-tropics N/A
## 642 N/A N/A Sub-tropics N/A
## 643 N/A N/A Sub-tropics N/A
## 644 N/A N/A Sub-tropics N/A
## 645 N/A N/A Sub-tropics N/A
## 646 N/A N/A Sub-tropics N/A
## 647 N/A N/A Sub-tropics N/A
## 648 N/A N/A Sub-tropics N/A
## 649 N/A N/A Sub-tropics N/A
## 650 24.3 Humid subtropical climate Sub-tropics N/A
## 651 24.3 Humid subtropical climate Sub-tropics N/A
## 652 24.3 Humid subtropical climate Sub-tropics N/A
## 653 24.3 Humid subtropical climate Sub-tropics N/A
## 654 24.3 Humid subtropical climate Sub-tropics N/A
## 655 24.3 Humid subtropical climate Sub-tropics N/A
## 656 24.3 Humid subtropical climate Sub-tropics N/A
## 657 24.3 Humid subtropical climate Sub-tropics N/A
## 658 24.3 Humid subtropical climate Sub-tropics N/A
## 659 24.3 Humid subtropical climate Sub-tropics N/A
## 660 24.3 Humid subtropical climate Sub-tropics N/A
## 661 24.3 Humid subtropical climate Sub-tropics N/A
## 662 24.3 Humid subtropical climate Sub-tropics N/A
## 663 24.3 Humid subtropical climate Sub-tropics N/A
## 664 24.3 Humid subtropical climate Sub-tropics N/A
## 665 17.3 N/A Temperate N/A
## 666 17.3 N/A Temperate N/A
## 667 17.3 N/A Temperate N/A
## 668 17.3 N/A Temperate N/A
## 669 17.3 N/A Temperate N/A
## 670 0 N/A Sub-tropics N/A
## 671 0 N/A Sub-tropics N/A
## 672 0 N/A Sub-tropics N/A
## 673 0 N/A Sub-tropics N/A
## 674 0 N/A Sub-tropics N/A
## 675 0 N/A Sub-tropics N/A
## 676 0 N/A Sub-tropics N/A
## 677 0 N/A Sub-tropics N/A
## 678 0 N/A Sub-tropics N/A
## 679 0 N/A Sub-tropics N/A
## 680 0 N/A Sub-tropics N/A
## 681 -0.5 continental monsoon climate, Temperate N/A
## 682 -0.5 continental monsoon climate, Temperate N/A
## 683 -0.5 continental monsoon climate, Temperate N/A
## 684 -0.5 continental monsoon climate, Temperate N/A
## 685 -0.5 continental monsoon climate, Temperate N/A
## 686 -0.5 continental monsoon climate, Temperate N/A
## 687 16.2 subtropical monsoon Sub-tropics N/A
## 688 16.2 subtropical monsoon Sub-tropics N/A
## 689 16.2 subtropical monsoon Sub-tropics N/A
## 690 16.2 subtropical monsoon Sub-tropics N/A
## 691 16.2 subtropical monsoon Sub-tropics N/A
## 692 16.2 subtropical monsoon Sub-tropics N/A
## 693 16.2 subtropical monsoon Sub-tropics N/A
## 694 16.2 subtropical monsoon Sub-tropics N/A
## 695 16.2 subtropical monsoon Sub-tropics N/A
## 696 16.2 subtropical monsoon Sub-tropics N/A
## 697 16.2 subtropical monsoon Sub-tropics N/A
## 698 16.2 subtropical monsoon Sub-tropics N/A
## 699 16.2 subtropical monsoon Sub-tropics N/A
## 700 16.2 subtropical monsoon Sub-tropics N/A
## 701 16.2 subtropical monsoon Sub-tropics N/A
## 702 16.2 subtropical monsoon Sub-tropics N/A
## 703 16.2 subtropical monsoon Sub-tropics N/A
## 704 16.2 subtropical monsoon Sub-tropics N/A
## 705 16.2 subtropical monsoon Sub-tropics N/A
## 706 16.2 subtropical monsoon Sub-tropics N/A
## 707 16.2 subtropical monsoon Sub-tropics N/A
## 708 16.2 subtropical monsoon Sub-tropics N/A
## 709 16.2 subtropical monsoon Sub-tropics N/A
## 710 16.2 subtropical monsoon Sub-tropics N/A
## 711 16.2 subtropical monsoon Sub-tropics N/A
## 712 16.2 subtropical monsoon Sub-tropics N/A
## 713 16.2 subtropical monsoon Sub-tropics N/A
## 714 12.5 montane monsoon Sub-tropics
## 715 12.5 montane monsoon Sub-tropics
## 716 12.5 montane monsoon Sub-tropics
## 717 1 N/A Temperate N/A
## 718 1 N/A Temperate N/A
## 719 1 N/A Temperate N/A
## 720 1 N/A Temperate N/A
## 721 1 N/A Temperate N/A
## 722 1 N/A Temperate N/A
## 723 1 N/A Temperate N/A
## 724 1 N/A Temperate N/A
## 725 1 N/A Temperate N/A
## 726 1 N/A Temperate N/A
## 727 1 N/A Temperate N/A
## 728 1 N/A Temperate N/A
## 729 1 N/A Temperate N/A
## 730 1 N/A Temperate N/A
## 731 1 N/A Temperate N/A
## 732 1 N/A Temperate N/A
## 733 1 N/A Temperate N/A
## 734 1 N/A Temperate N/A
## 735 1 N/A Temperate N/A
## 736 1 N/A Temperate N/A
## 737 21 Subtropical monsoon Tropics N/A
## 738 21 Subtropical monsoon Tropics N/A
## 739 21 Subtropical monsoon Tropics N/A
## 740 21 Subtropical monsoon Tropics N/A
## 741 21 Subtropical monsoon Tropics N/A
## 742 21 Subtropical monsoon Tropics N/A
## 743 21 Subtropical monsoon Tropics N/A
## 744 21 Subtropical monsoon Tropics N/A
## 745 21 Subtropical monsoon Tropics N/A
## 746 21 Subtropical monsoon Tropics N/A
## 747 21 Subtropical monsoon Tropics N/A
## 748 21 Subtropical monsoon Tropics N/A
## 749 21 Subtropical monsoon Tropics N/A
## 750 21 Subtropical monsoon Tropics N/A
## 751 21 Subtropical monsoon Tropics N/A
## 752 21 Subtropical monsoon Tropics N/A
## 753 21 Subtropical monsoon Tropics N/A
## 754 21 Subtropical monsoon Tropics N/A
## 755 21 Subtropical monsoon Tropics N/A
## 756 21 Subtropical monsoon Tropics N/A
## 757 21 Subtropical monsoon Tropics N/A
## 758 21 Subtropical monsoon Tropics N/A
## 759 21 Subtropical monsoon Tropics N/A
## 760 21 Subtropical monsoon Tropics N/A
## 761 21 Subtropical monsoon Tropics N/A
## 762 21 Subtropical monsoon Tropics N/A
## 763 21 Subtropical monsoon Tropics N/A
## 764 17 Mediterranean Temperate N/A
## 765 17 Mediterranean Temperate N/A
## 766 17 Mediterranean Temperate N/A
## 767 17 Mediterranean Temperate N/A
## 768 4.7 temperate climate Temperate N/A
## 769 4.7 temperate climate Temperate N/A
## 770 4.7 temperate climate Temperate N/A
## 771 4.7 temperate climate Temperate N/A
## 772 4.7 temperate climate Temperate N/A
## 773 4.7 temperate climate Temperate N/A
## 774 4.7 temperate climate Temperate N/A
## 775 4.7 temperate climate Temperate N/A
## 776 4.7 temperate climate Temperate N/A
## 777 4.7 temperate climate Temperate N/A
## 778 15 N/A Sub-tropics N/A
## 779 15 N/A Sub-tropics N/A
## 780 15 N/A Sub-tropics N/A
## 781 15 N/A Sub-tropics N/A
## 782 15 N/A Sub-tropics N/A
## 783 15 N/A Sub-tropics N/A
## 784 15 N/A Sub-tropics N/A
## 785 15 N/A Sub-tropics N/A
## 786 15 N/A Sub-tropics N/A
## 787 15 N/A Sub-tropics N/A
## 788 15 N/A Sub-tropics N/A
## 789 15 N/A Sub-tropics N/A
## 790 15 N/A Sub-tropics N/A
## 791 15 N/A Sub-tropics N/A
## 792 15 N/A Sub-tropics N/A
## 793 15 N/A Sub-tropics N/A
## 794 15 N/A Sub-tropics N/A
## 795 15 N/A Sub-tropics N/A
## 796 15 N/A Sub-tropics N/A
## 797 15 N/A Sub-tropics N/A
## 798 15 N/A Sub-tropics N/A
## 799 15 N/A Sub-tropics N/A
## 800 15 N/A Sub-tropics N/A
## 801 15 N/A Sub-tropics N/A
## 802 15 N/A Sub-tropics N/A
## 803 15 N/A Sub-tropics N/A
## 804 -3 N/A Temperate N/A
## 805 -3 N/A Temperate N/A
## 806 -3 N/A Temperate N/A
## 807 -3 N/A Temperate N/A
## 808 -3 N/A Temperate N/A
## 809 -3 N/A Temperate N/A
## 810 -3 N/A Temperate N/A
## 811 -3 N/A Temperate N/A
## 812 -3 N/A Temperate N/A
## 813 -3 N/A Temperate N/A
## 814 -3 N/A Temperate N/A
## 815 -3 N/A Temperate N/A
## 816 22.6 south subtropical monsoon climate Tropics N/A
## 817 22.6 south subtropical monsoon climate Tropics N/A
## 818 22.6 south subtropical monsoon climate Tropics N/A
## 819 22.6 south subtropical monsoon climate Tropics N/A
## 820 22.6 south subtropical monsoon climate Tropics N/A
## 821 22.6 south subtropical monsoon climate Tropics N/A
## 822 22.6 south subtropical monsoon climate Tropics N/A
## 823 22.6 south subtropical monsoon climate Tropics N/A
## 824 22.6 south subtropical monsoon climate Tropics N/A
## 825 22.6 south subtropical monsoon climate Tropics N/A
## 826 22.6 south subtropical monsoon climate Tropics N/A
## 827 22.6 south subtropical monsoon climate Tropics N/A
## 828 22.6 south subtropical monsoon climate Tropics N/A
## 829 22.6 south subtropical monsoon climate Tropics N/A
## 830 22.6 south subtropical monsoon climate Tropics N/A
## 831 22.6 south subtropical monsoon climate Tropics N/A
## 832 22.6 south subtropical monsoon climate Tropics N/A
## 833 22.6 south subtropical monsoon climate Tropics N/A
## 834 22.6 south subtropical monsoon climate Tropics N/A
## 835 22.6 south subtropical monsoon climate Tropics N/A
## 836 22.6 south subtropical monsoon climate Tropics N/A
## 837 22.6 south subtropical monsoon climate Tropics N/A
## 838 22.6 south subtropical monsoon climate Tropics N/A
## 839 22.6 south subtropical monsoon climate Tropics N/A
## 840 22.6 south subtropical monsoon climate Tropics N/A
## 841 22.6 south subtropical monsoon climate Tropics N/A
## 842 22.6 south subtropical monsoon climate Tropics N/A
## 843 22.6 south subtropical monsoon climate Tropics N/A
## 844 22.6 south subtropical monsoon climate Tropics N/A
## 845 22.6 south subtropical monsoon climate Tropics N/A
## 846 22.6 south subtropical monsoon climate Tropics N/A
## 847 22.6 south subtropical monsoon climate Tropics N/A
## 848 22.6 south subtropical monsoon climate Tropics N/A
## 849 22.6 south subtropical monsoon climate Tropics N/A
## 850 22.6 south subtropical monsoon climate Tropics N/A
## 851 22.6 south subtropical monsoon climate Tropics N/A
## 852 22.6 south subtropical monsoon climate Tropics N/A
## 853 22.6 south subtropical monsoon climate Tropics N/A
## 854 22.6 south subtropical monsoon climate Tropics N/A
## 855 22.6 south subtropical monsoon climate Tropics N/A
## 856 22.6 south subtropical monsoon climate Tropics N/A
## 857 22.6 south subtropical monsoon climate Tropics N/A
## 858 22.6 south subtropical monsoon climate Tropics N/A
## 859 22.6 south subtropical monsoon climate Tropics N/A
## 860 2.1 semiarid continental monsoon climate Temperate N/A
## 861 2.1 semiarid continental monsoon climate Temperate N/A
## 862 2.1 semiarid continental monsoon climate Temperate N/A
## 863 2.1 semiarid continental monsoon climate Temperate N/A
## 864 2.1 semiarid continental monsoon climate Temperate N/A
## 865 2.1 semiarid continental monsoon climate Temperate N/A
## 866 2.1 semiarid continental monsoon climate Temperate N/A
## 867 2.1 semiarid continental monsoon climate Temperate N/A
## Soil.C.. Soil.N. Soil.C.N.ratio Soil.pH litterbags_size_cm2 Fauna_available
## 1 12.3 0.57 N/A 4.96 300 absent
## 2 12.3 0.57 N/A 4.96 300 absent
## 3 12.3 0.57 N/A 4.96 300 absent
## 4 12.3 0.57 N/A 4.96 300 absent
## 5 12.3 0.57 N/A 4.96 300 absent
## 6 12.3 0.57 N/A 4.96 300 absent
## 7 12.3 0.57 N/A 4.96 300 absent
## 8 12.3 0.57 N/A 4.96 300 absent
## 9 12.3 0.57 N/A 4.96 300 absent
## 10 12.3 0.57 N/A 4.96 300 absent
## 11 12.3 0.57 N/A 4.96 300 absent
## 12 12.3 0.57 N/A 4.96 300 absent
## 13 12.3 0.57 N/A 4.96 300 present
## 14 12.3 0.57 N/A 4.96 300 present
## 15 12.3 0.57 N/A 4.96 300 present
## 16 12.3 0.57 N/A 4.96 300 present
## 17 12.3 0.57 N/A 4.96 300 present
## 18 12.3 0.57 N/A 4.96 300 present
## 19 12.3 0.57 N/A 4.96 300 present
## 20 12.3 0.57 N/A 4.96 300 present
## 21 12.3 0.57 N/A 4.96 300 present
## 22 12.3 0.57 N/A 4.96 300 present
## 23 12.3 0.57 N/A 4.96 300 present
## 24 12.3 0.57 N/A 4.96 300 present
## 25 43.6 3.9 N/A 5.9 225 absent
## 26 43.6 3.9 N/A 5.9 225 absent
## 27 43.6 3.9 N/A 5.9 225 absent
## 28 43.6 3.9 N/A 5.9 225 absent
## 29 43.6 3.9 N/A 5.9 225 absent
## 30 43.6 3.9 N/A 5.9 225 absent
## 31 43.6 3.9 N/A 5.9 225 absent
## 32 43.6 3.9 N/A 5.9 225 absent
## 33 43.6 3.9 N/A 5.9 225 absent
## 34 43.6 3.9 N/A 5.9 225 absent
## 35 43.6 3.9 N/A 5.9 225 absent
## 36 43.6 3.9 N/A 5.9 225 absent
## 37 43.6 3.9 N/A 5.9 225 absent
## 38 43.6 3.9 N/A 5.9 225 absent
## 39 43.6 3.9 N/A 5.9 225 absent
## 40 43.6 3.9 N/A 5.9 225 absent
## 41 43.6 3.9 N/A 5.9 225 absent
## 42 43.6 3.9 N/A 5.9 225 absent
## 43 N/A N/A N/A 5.35 300 present
## 44 N/A N/A N/A 5.35 300 present
## 45 N/A N/A N/A 5.35 300 present
## 46 N/A N/A N/A 5.35 300 present
## 47 N/A N/A N/A 5.35 300 present
## 48 N/A N/A N/A 5.35 300 present
## 49 N/A N/A N/A 5.35 300 present
## 50 N/A N/A N/A 5.35 300 present
## 51 N/A N/A N/A 5.35 300 present
## 52 N/A N/A N/A 5.35 300 present
## 53 N/A N/A N/A 5.35 300 present
## 54 N/A N/A N/A 5.35 300 present
## 55 N/A N/A N/A 5.35 300 present
## 56 N/A N/A N/A 5.35 300 present
## 57 N/A N/A N/A 5.35 300 present
## 58 N/A N/A N/A 5.35 300 present
## 59 N/A N/A N/A N/A 225 present
## 60 N/A N/A N/A N/A 225 present
## 61 2.21 0.15 N/A 4.4 225 absent
## 62 2.21 0.15 N/A 4.4 225 absent
## 63 2.21 0.15 N/A 4.4 225 absent
## 64 2.21 0.15 N/A 4.4 225 absent
## 65 2.21 0.15 N/A 4.4 225 absent
## 66 2.21 0.15 N/A 4.4 225 absent
## 67 2.21 0.15 N/A 4.4 225 absent
## 68 2.21 0.15 N/A 4.4 225 absent
## 69 2.21 0.15 N/A 4.4 225 absent
## 70 2.21 0.15 N/A 4.4 225 absent
## 71 2.21 0.15 N/A 4.4 225 absent
## 72 2.21 0.15 N/A 4.4 225 absent
## 73 2.21 0.15 N/A 4.4 225 absent
## 74 2.21 0.15 N/A 4.4 225 absent
## 75 2.21 0.15 N/A 4.4 225 present
## 76 2.21 0.15 N/A 4.4 225 present
## 77 2.21 0.15 N/A 4.4 225 present
## 78 2.21 0.15 N/A 4.4 225 present
## 79 2.21 0.15 N/A 4.4 225 present
## 80 2.21 0.15 N/A 4.4 225 present
## 81 2.21 0.15 N/A 4.4 225 present
## 82 2.21 0.15 N/A 4.4 225 present
## 83 2.21 0.15 N/A 4.4 225 present
## 84 2.21 0.15 N/A 4.4 225 present
## 85 2.21 0.15 N/A 4.4 225 present
## 86 2.21 0.15 N/A 4.4 225 present
## 87 2.21 0.15 N/A 4.4 225 present
## 88 2.21 0.15 N/A 4.4 225 present
## 89 N/A N/A N/A 5.5 400 absent
## 90 N/A N/A N/A 5.5 400 absent
## 91 N/A N/A N/A 5.5 400 absent
## 92 N/A N/A N/A 4 144 present
## 93 N/A N/A N/A 4 144 present
## 94 N/A N/A N/A 4 144 present
## 95 N/A N/A N/A 4 144 present
## 96 N/A N/A N/A 4 144 present
## 97 N/A N/A N/A 4 144 present
## 98 12.3 0.57 N/A 4.96 300 absent
## 99 12.3 0.57 N/A 4.96 300 absent
## 100 12.3 0.57 N/A 4.96 300 absent
## 101 12.3 0.57 N/A 4.96 300 absent
## 102 12.3 0.57 N/A 4.96 300 absent
## 103 12.3 0.57 N/A 4.96 300 absent
## 104 12.3 0.57 N/A 4.96 300 absent
## 105 12.3 0.57 N/A 4.96 300 absent
## 106 12.3 0.57 N/A 4.96 300 absent
## 107 12.3 0.57 N/A 4.96 300 absent
## 108 12.3 0.57 N/A 4.96 300 absent
## 109 12.3 0.57 N/A 4.96 300 present
## 110 12.3 0.57 N/A 4.96 300 present
## 111 12.3 0.57 N/A 4.96 300 present
## 112 12.3 0.57 N/A 4.96 300 present
## 113 12.3 0.57 N/A 4.96 300 present
## 114 12.3 0.57 N/A 4.96 300 present
## 115 12.3 0.57 N/A 4.96 300 present
## 116 12.3 0.57 N/A 4.96 300 present
## 117 12.3 0.57 N/A 4.96 300 present
## 118 12.3 0.57 N/A 4.96 300 present
## 119 12.3 0.57 N/A 4.96 300 present
## 120 12.3 0.57 N/A 4.96 300 present
## 121 12.3 0.57 N/A 4.96 300 present
## 122 N/A 0.059 N/A 8.43 300 absent
## 123 N/A 0.059 N/A 8.43 300 absent
## 124 N/A 0.059 N/A 8.43 300 absent
## 125 N/A 0.059 N/A 8.43 300 absent
## 126 N/A 0.059 N/A 8.43 300 absent
## 127 N/A 0.059 N/A 8.43 300 absent
## 128 N/A 0.059 N/A 8.43 300 absent
## 129 N/A 0.059 N/A 8.43 300 absent
## 130 N/A 0.059 N/A 8.43 300 absent
## 131 N/A 0.059 N/A 8.43 300 absent
## 132 N/A 0.059 N/A 8.43 300 absent
## 133 N/A 0.059 N/A 8.43 300 absent
## 134 N/A 0.059 N/A 8.43 300 absent
## 135 N/A 0.059 N/A 8.43 300 absent
## 136 N/A 0.059 N/A 8.43 300 absent
## 137 N/A N/A N/A N/A 100 present
## 138 N/A N/A N/A N/A 100 present
## 139 N/A N/A N/A N/A 100 present
## 140 N/A N/A N/A N/A 400 absent
## 141 N/A N/A N/A N/A 400 absent
## 142 N/A N/A N/A N/A 400 absent
## 143 N/A N/A N/A N/A 400 absent
## 144 N/A N/A N/A N/A 400 absent
## 145 N/A N/A N/A N/A 400 absent
## 146 N/A N/A N/A N/A 400 absent
## 147 N/A N/A N/A N/A 400 absent
## 148 N/A N/A N/A N/A 400 absent
## 149 N/A N/A N/A N/A 400 absent
## 150 N/A N/A N/A N/A 400 absent
## 151 N/A N/A N/A N/A 400 absent
## 152 N/A N/A N/A N/A 25 absent
## 153 N/A N/A N/A N/A 25 absent
## 154 N/A N/A N/A N/A 25 absent
## 155 N/A N/A N/A N/A 25 absent
## 156 N/A N/A N/A N/A 25 absent
## 157 N/A N/A N/A N/A 25 absent
## 158 N/A N/A N/A N/A 25 absent
## 159 N/A N/A N/A N/A 25 absent
## 160 N/A N/A N/A N/A 25 absent
## 161 N/A N/A N/A N/A 25 absent
## 162 N/A N/A N/A N/A 25 absent
## 163 N/A N/A N/A N/A 25 absent
## 164 N/A N/A N/A N/A 25 absent
## 165 N/A N/A N/A N/A 25 absent
## 166 N/A N/A N/A N/A 25 absent
## 167 N/A N/A N/A N/A 25 absent
## 168 N/A N/A N/A N/A 25 absent
## 169 N/A N/A N/A N/A 25 absent
## 170 N/A N/A N/A N/A 25 absent
## 171 N/A N/A N/A N/A 25 absent
## 172 N/A N/A N/A N/A 25 absent
## 173 N/A N/A N/A N/A 25 absent
## 174 N/A N/A N/A N/A 25 absent
## 175 N/A N/A N/A N/A 25 absent
## 176 N/A N/A N/A N/A 400 absent
## 177 N/A N/A N/A N/A 400 absent
## 178 N/A N/A N/A N/A 400 absent
## 179 N/A N/A N/A N/A 400 absent
## 180 N/A N/A N/A N/A 400 absent
## 181 N/A N/A N/A N/A 400 absent
## 182 N/A N/A N/A N/A 400 absent
## 183 N/A N/A N/A N/A 400 absent
## 184 0.65 0.052 N/A 6 100 absent
## 185 0.65 0.052 N/A 6 100 absent
## 186 0.65 0.052 N/A 6 100 absent
## 187 0.65 0.052 N/A 6 100 absent
## 188 0.65 0.052 N/A 6 100 absent
## 189 0.65 0.052 N/A 6 100 absent
## 190 N/A N/A N/A N/A 225 present
## 191 N/A N/A N/A N/A 225 present
## 192 N/A N/A N/A N/A 225 present
## 193 N/A N/A N/A N/A 225 present
## 194 N/A N/A N/A N/A 300 absent
## 195 N/A N/A N/A N/A 300 absent
## 196 N/A N/A N/A N/A 300 absent
## 197 N/A N/A N/A N/A 300 absent
## 198 N/A N/A N/A N/A 300 absent
## 199 N/A N/A N/A N/A 300 absent
## 200 N/A N/A N/A N/A 400 absent
## 201 N/A N/A N/A N/A 400 absent
## 202 N/A N/A N/A N/A 400 absent
## 203 N/A N/A N/A N/A 400 absent
## 204 N/A N/A N/A N/A 400 absent
## 205 N/A N/A N/A N/A 400 absent
## 206 N/A N/A N/A N/A 400 absent
## 207 N/A N/A N/A N/A 400 absent
## 208 N/A N/A N/A N/A 400 absent
## 209 N/A N/A N/A N/A 400 absent
## 210 N/A N/A N/A N/A 300 absent
## 211 N/A N/A N/A N/A 300 present
## 212 N/A N/A N/A N/A 300 present
## 213 N/A N/A N/A N/A 300 absent
## 214 N/A N/A N/A N/A 300 present
## 215 N/A N/A N/A N/A 300 present
## 216 N/A N/A N/A N/A 100 absent
## 217 N/A N/A N/A N/A 100 absent
## 218 N/A N/A N/A N/A 100 absent
## 219 N/A N/A N/A N/A 100 absent
## 220 N/A N/A N/A N/A 100 absent
## 221 N/A N/A N/A N/A 100 absent
## 222 N/A N/A N/A N/A 225 present
## 223 N/A N/A N/A N/A 225 present
## 224 N/A N/A N/A N/A 225 present
## 225 N/A N/A N/A N/A 225 present
## 226 N/A N/A N/A N/A 400 absent
## 227 N/A N/A N/A N/A 400 absent
## 228 N/A N/A N/A N/A 400 absent
## 229 N/A N/A N/A N/A 400 absent
## 230 N/A N/A N/A N/A 400 absent
## 231 N/A N/A N/A N/A 400 absent
## 232 N/A N/A N/A N/A 400 absent
## 233 N/A N/A N/A N/A 400 absent
## 234 N/A N/A N/A N/A 400 absent
## 235 N/A N/A N/A N/A 400 absent
## 236 N/A N/A N/A N/A 400 absent
## 237 N/A N/A N/A N/A 400 absent
## 238 N/A N/A N/A N/A 400 absent
## 239 N/A N/A N/A N/A 400 absent
## 240 N/A N/A N/A N/A 400 absent
## 241 N/A N/A N/A N/A 400 absent
## 242 N/A N/A N/A N/A 400 absent
## 243 N/A N/A N/A N/A 400 absent
## 244 N/A N/A N/A N/A 400 absent
## 245 N/A N/A N/A N/A 400 absent
## 246 N/A N/A N/A N/A 400 absent
## 247 N/A N/A N/A N/A 400 absent
## 248 N/A N/A N/A N/A 400 absent
## 249 N/A N/A N/A N/A 400 absent
## 250 N/A N/A N/A N/A 400 absent
## 251 N/A N/A N/A N/A 400 absent
## 252 N/A N/A N/A N/A 400 absent
## 253 N/A N/A N/A N/A 400 absent
## 254 N/A N/A N/A N/A 400 absent
## 255 N/A N/A N/A N/A 400 absent
## 256 N/A N/A N/A N/A 400 absent
## 257 N/A N/A N/A N/A 400 absent
## 258 N/A N/A N/A N/A 400 absent
## 259 N/A N/A N/A N/A 600 present
## 260 N/A N/A N/A N/A 600 present
## 261 N/A N/A N/A N/A 600 present
## 262 N/A N/A N/A N/A 600 present
## 263 N/A N/A N/A N/A 600 present
## 264 19.7 0.6 14.6 4 200 absent
## 265 19.7 0.6 14.6 4 200 absent
## 266 19.7 0.6 14.6 4 200 absent
## 267 19.7 0.6 14.6 4 200 absent
## 268 19.7 0.6 14.6 4 200 absent
## 269 19.7 0.6 14.6 4 200 absent
## 270 19.7 0.6 14.6 4 200 absent
## 271 19.7 0.6 14.6 4 200 absent
## 272 19.7 0.6 14.6 4 200 absent
## 273 19.7 0.6 14.6 4 200 absent
## 274 19.7 0.6 14.6 4 200 absent
## 275 19.7 0.6 14.6 4 200 absent
## 276 16.2 0.43 14 4 200 absent
## 277 16.2 0.43 14 4 200 absent
## 278 16.2 0.43 14 4 200 absent
## 279 16.2 0.43 14 4 200 absent
## 280 16.2 0.43 14 4 200 absent
## 281 16.2 0.43 14 4 200 absent
## 282 16.2 0.43 14 4 200 absent
## 283 16.2 0.43 14 4 200 absent
## 284 16.2 0.43 14 4 200 absent
## 285 16.2 0.43 14 4 200 absent
## 286 16.2 0.43 14 4 200 absent
## 287 16.2 0.43 14 4 200 absent
## 288 13.3 0.3 15 4.3 200 absent
## 289 13.3 0.3 15 4.3 200 absent
## 290 13.3 0.3 15 4.3 200 absent
## 291 13.3 0.3 15 4.3 200 absent
## 292 13.3 0.3 15 4.3 200 absent
## 293 13.3 0.3 15 4.3 200 absent
## 294 13.3 0.3 15 4.3 200 absent
## 295 13.3 0.3 15 4.3 200 absent
## 296 13.3 0.3 15 4.3 200 absent
## 297 13.3 0.3 15 4.3 200 absent
## 298 13.3 0.3 15 4.3 200 absent
## 299 13.3 0.3 15 4.3 200 absent
## 300 N/A N/A N/A N/A 300 absent
## 301 N/A N/A N/A N/A 300 absent
## 302 N/A N/A N/A N/A 300 absent
## 303 N/A N/A N/A N/A 300 absent
## 304 N/A N/A N/A N/A 300 absent
## 305 N/A N/A N/A N/A 300 absent
## 306 N/A N/A N/A N/A 300 absent
## 307 N/A N/A N/A 4.26 100 absent
## 308 N/A N/A N/A 4.26 100 absent
## 309 N/A N/A N/A 4.26 100 absent
## 310 N/A N/A N/A 4.26 100 absent
## 311 N/A N/A N/A 4.26 100 absent
## 312 N/A N/A N/A 4.26 100 absent
## 313 N/A N/A N/A N/A 600 present
## 314 N/A N/A N/A N/A 600 present
## 315 N/A N/A N/A N/A 600 present
## 316 N/A 0.093 N/A 5.62 600 present
## 317 N/A 0.093 N/A 5.62 600 present
## 318 N/A 0.093 N/A 5.62 600 present
## 319 N/A 0.093 N/A 5.62 600 present
## 320 N/A 0.093 N/A 5.62 600 present
## 321 N/A N/A N/A 7 400 present
## 322 N/A N/A N/A 7 400 present
## 323 N/A N/A N/A 7 400 present
## 324 N/A N/A N/A 7 400 present
## 325 N/A N/A N/A 7 400 present
## 326 N/A N/A N/A 7 400 present
## 327 N/A N/A N/A 7 400 present
## 328 N/A N/A N/A 7 400 present
## 329 N/A N/A N/A 7 400 present
## 330 N/A N/A N/A 7 400 present
## 331 N/A N/A N/A 7 400 present
## 332 N/A N/A N/A 7 400 present
## 333 N/A N/A N/A 7 400 present
## 334 N/A N/A N/A 7 400 present
## 335 N/A N/A N/A 7 400 present
## 336 N/A N/A N/A 7 400 present
## 337 N/A N/A N/A 7 400 present
## 338 N/A N/A N/A 7 400 present
## 339 N/A N/A N/A 7 400 present
## 340 N/A N/A N/A 7 400 present
## 341 N/A N/A N/A 7 400 present
## 342 N/A N/A N/A 7 400 present
## 343 2.242 0.075 N/A 4.65 225 absent
## 344 2.242 0.075 N/A 4.65 225 absent
## 345 2.242 0.075 N/A 4.65 225 absent
## 346 2.242 0.075 N/A 4.65 225 absent
## 347 N/A N/A N/A N/A 625 present
## 348 N/A N/A N/A N/A 625 present
## 349 0.588 0.054 N/A N/A 225 absent
## 350 0.716 0.092 N/A N/A 225 present
## 351 0.393 0.037 N/A N/A 225 absent
## 352 0.588 0.054 N/A N/A 225 present
## 353 0.716 0.092 N/A N/A 225 absent
## 354 0.393 0.037 N/A N/A 225 present
## 355 0.588 0.054 N/A N/A 225 absent
## 356 0.716 0.092 N/A N/A 225 present
## 357 0.393 0.037 N/A N/A 225 absent
## 358 0.588 0.054 N/A N/A 225 present
## 359 0.716 0.092 N/A N/A 225 absent
## 360 0.393 0.037 N/A N/A 225 present
## 361 N/A N/A N/A N/A 225 absent
## 362 N/A N/A N/A N/A 225 absent
## 363 N/A N/A N/A N/A 225 absent
## 364 N/A N/A N/A N/A 225 absent
## 365 N/A N/A N/A N/A 225 absent
## 366 N/A N/A N/A N/A 225 absent
## 367 N/A N/A N/A N/A 225 absent
## 368 N/A N/A N/A N/A 225 absent
## 369 N/A N/A N/A N/A 225 absent
## 370 N/A N/A N/A N/A 225 absent
## 371 N/A N/A N/A N/A 225 absent
## 372 N/A N/A N/A N/A 225 absent
## 373 N/A N/A N/A N/A 400 absent
## 374 N/A N/A N/A N/A 400 absent
## 375 N/A N/A N/A N/A 400 absent
## 376 N/A N/A N/A N/A 400 absent
## 377 N/A N/A N/A N/A 400 absent
## 378 N/A N/A N/A N/A 400 absent
## 379 N/A N/A N/A N/A 400 absent
## 380 N/A N/A N/A N/A 400 absent
## 381 N/A N/A N/A N/A 400 absent
## 382 N/A N/A N/A N/A 400 absent
## 383 N/A N/A N/A N/A 400 absent
## 384 N/A N/A N/A N/A 400 absent
## 385 N/A N/A N/A N/A 400 absent
## 386 N/A N/A N/A N/A 400 absent
## 387 N/A N/A N/A N/A 400 absent
## 388 N/A N/A N/A N/A 400 absent
## 389 N/A N/A N/A N/A 400 absent
## 390 N/A N/A N/A N/A 400 absent
## 391 N/A N/A N/A N/A 400 absent
## 392 N/A N/A N/A N/A 400 absent
## 393 N/A N/A N/A N/A 400 absent
## 394 N/A N/A N/A N/A 400 absent
## 395 N/A N/A N/A N/A 400 absent
## 396 N/A N/A N/A N/A 400 absent
## 397 N/A N/A N/A N/A 400 absent
## 398 N/A N/A N/A N/A 400 absent
## 399 N/A N/A N/A N/A 400 absent
## 400 N/A N/A N/A N/A 400 absent
## 401 N/A N/A N/A N/A 400 absent
## 402 N/A N/A N/A N/A 400 absent
## 403 N/A N/A N/A N/A 400 absent
## 404 N/A N/A N/A N/A 400 absent
## 405 N/A N/A N/A N/A 400 absent
## 406 N/A N/A N/A N/A 400 absent
## 407 N/A N/A N/A N/A 400 absent
## 408 N/A N/A N/A N/A 400 absent
## 409 N/A N/A N/A N/A 400 absent
## 410 N/A N/A N/A N/A 400 absent
## 411 N/A N/A N/A N/A 400 absent
## 412 N/A N/A N/A N/A 400 absent
## 413 N/A N/A N/A N/A 400 absent
## 414 N/A N/A N/A N/A 400 absent
## 415 N/A N/A N/A N/A 400 absent
## 416 N/A N/A N/A N/A 400 absent
## 417 N/A N/A N/A N/A 400 absent
## 418 N/A N/A N/A N/A 400 absent
## 419 N/A N/A N/A N/A 400 absent
## 420 N/A N/A N/A N/A 400 absent
## 421 N/A N/A N/A N/A 400 absent
## 422 N/A N/A N/A N/A 400 absent
## 423 N/A N/A N/A N/A 400 absent
## 424 N/A N/A N/A N/A 400 absent
## 425 N/A N/A N/A N/A 400 absent
## 426 N/A N/A N/A N/A 400 absent
## 427 N/A N/A N/A N/A 400 absent
## 428 N/A N/A N/A N/A 400 absent
## 429 N/A N/A N/A N/A 400 absent
## 430 N/A N/A N/A N/A 400 absent
## 431 N/A N/A N/A N/A 400 absent
## 432 N/A N/A N/A N/A 400 absent
## 433 N/A N/A N/A N/A 400 absent
## 434 N/A N/A N/A N/A 400 absent
## 435 N/A N/A N/A N/A 400 absent
## 436 N/A N/A N/A N/A 400 absent
## 437 N/A N/A N/A N/A 400 absent
## 438 N/A N/A N/A N/A 400 absent
## 439 N/A N/A N/A N/A 400 absent
## 440 N/A N/A N/A N/A 400 absent
## 441 N/A N/A N/A N/A 400 absent
## 442 N/A N/A N/A N/A 400 absent
## 443 N/A N/A N/A N/A 400 absent
## 444 N/A N/A N/A N/A 400 absent
## 445 N/A N/A N/A N/A 400 absent
## 446 N/A N/A N/A N/A 400 absent
## 447 N/A N/A N/A N/A 400 absent
## 448 N/A N/A N/A N/A 400 absent
## 449 N/A N/A N/A N/A 400 absent
## 450 N/A N/A N/A N/A 400 absent
## 451 N/A N/A N/A N/A 400 absent
## 452 N/A N/A N/A N/A 400 absent
## 453 N/A N/A N/A N/A 400 absent
## 454 N/A N/A N/A N/A 400 absent
## 455 N/A N/A N/A N/A 400 absent
## 456 N/A N/A N/A N/A 400 absent
## 457 N/A N/A N/A N/A 400 absent
## 458 N/A N/A N/A N/A 400 absent
## 459 N/A N/A N/A N/A 400 absent
## 460 N/A N/A N/A N/A 400 absent
## 461 N/A N/A N/A N/A 400 absent
## 462 N/A N/A N/A N/A 400 absent
## 463 N/A N/A N/A N/A 400 absent
## 464 N/A N/A N/A N/A 400 absent
## 465 N/A N/A N/A N/A 400 absent
## 466 N/A N/A N/A N/A 400 absent
## 467 N/A N/A N/A N/A 400 absent
## 468 N/A N/A N/A N/A 400 absent
## 469 N/A N/A N/A N/A 400 absent
## 470 N/A N/A N/A N/A 400 absent
## 471 N/A N/A N/A N/A 400 absent
## 472 N/A N/A N/A N/A 400 absent
## 473 N/A N/A N/A N/A 400 absent
## 474 N/A N/A N/A N/A 400 absent
## 475 N/A N/A N/A N/A 400 absent
## 476 N/A N/A N/A N/A 400 absent
## 477 N/A N/A N/A N/A 400 absent
## 478 N/A N/A N/A N/A 400 absent
## 479 N/A N/A N/A N/A 400 absent
## 480 N/A N/A N/A N/A 400 absent
## 481 N/A N/A N/A N/A 400 absent
## 482 N/A N/A N/A N/A 400 absent
## 483 N/A N/A N/A N/A 400 absent
## 484 N/A N/A N/A N/A 400 absent
## 485 N/A N/A N/A N/A 400 absent
## 486 N/A N/A N/A N/A 400 absent
## 487 N/A N/A N/A N/A 400 absent
## 488 N/A N/A N/A N/A 400 absent
## 489 N/A N/A N/A N/A 400 absent
## 490 N/A N/A N/A N/A 400 absent
## 491 N/A N/A N/A N/A 400 absent
## 492 N/A N/A N/A N/A 400 absent
## 493 N/A N/A N/A N/A 400 absent
## 494 N/A N/A N/A N/A 400 absent
## 495 N/A N/A N/A N/A 400 absent
## 496 N/A N/A N/A N/A 400 absent
## 497 N/A N/A N/A N/A 400 absent
## 498 N/A N/A N/A N/A 400 absent
## 499 N/A N/A N/A N/A 400 absent
## 500 N/A N/A N/A N/A 400 absent
## 501 N/A N/A N/A N/A 400 absent
## 502 N/A N/A N/A N/A 400 absent
## 503 N/A N/A N/A N/A 400 absent
## 504 N/A N/A N/A N/A 400 absent
## 505 N/A N/A N/A N/A 400 absent
## 506 N/A N/A N/A N/A 400 absent
## 507 N/A N/A N/A N/A 400 absent
## 508 N/A N/A N/A N/A 400 absent
## 509 N/A N/A N/A N/A 400 absent
## 510 N/A N/A N/A N/A 400 absent
## 511 N/A N/A N/A N/A 400 absent
## 512 N/A N/A N/A N/A 400 absent
## 513 N/A N/A N/A N/A 400 absent
## 514 N/A N/A N/A N/A 400 absent
## 515 N/A N/A N/A N/A 69.225 absent
## 516 N/A N/A N/A N/A 69.225 absent
## 517 N/A N/A N/A N/A 69.225 absent
## 518 N/A N/A N/A N/A 69.225 absent
## 519 N/A N/A N/A N/A 69.225 absent
## 520 N/A N/A N/A N/A 69.225 absent
## 521 N/A N/A N/A N/A 69.225 absent
## 522 N/A N/A N/A N/A 69.225 absent
## 523 N/A N/A N/A N/A 69.225 absent
## 524 N/A N/A N/A N/A 69.225 absent
## 525 N/A N/A N/A N/A 69.225 absent
## 526 N/A N/A N/A N/A 69.225 absent
## 527 N/A N/A N/A N/A 69.225 absent
## 528 N/A N/A N/A N/A 69.225 absent
## 529 N/A N/A N/A N/A 69.225 absent
## 530 N/A N/A N/A N/A 69.225 absent
## 531 N/A N/A N/A N/A 69.225 absent
## 532 N/A N/A N/A N/A 69.225 absent
## 533 N/A N/A N/A N/A 69.225 absent
## 534 N/A N/A N/A N/A 69.225 absent
## 535 N/A N/A N/A N/A 69.225 absent
## 536 N/A N/A N/A N/A 69.225 absent
## 537 N/A N/A N/A N/A 69.225 absent
## 538 N/A N/A N/A N/A 69.225 absent
## 539 N/A N/A 19.8 N/A 100 absent
## 540 N/A N/A 19.8 N/A 100 absent
## 541 N/A N/A 19.8 N/A 100 absent
## 542 N/A N/A 23.8 N/A 100 absent
## 543 N/A N/A 23.9 N/A 100 absent
## 544 N/A N/A 23.9 N/A 100 absent
## 545 N/A N/A 23.9 N/A 100 absent
## 546 N/A N/A 23.9 N/A 100 absent
## 547 N/A N/A 23.9 N/A 100 absent
## 548 N/A N/A 23.9 N/A 100 absent
## 549 N/A N/A 23.9 N/A 100 absent
## 550 N/A N/A 23.9 N/A 100 absent
## 551 N/A N/A 23.9 N/A 100 absent
## 552 N/A N/A 23.7 N/A 100 absent
## 553 N/A N/A 23.7 N/A 100 absent
## 554 N/A N/A 23.7 N/A 100 absent
## 555 N/A N/A 23.7 N/A 100 absent
## 556 N/A N/A 23.7 N/A 100 absent
## 557 N/A N/A 23.7 N/A 100 absent
## 558 N/A N/A 23.7 N/A 100 absent
## 559 N/A N/A 23.7 N/A 100 absent
## 560 N/A N/A 23.7 N/A 100 absent
## 561 N/A N/A 23.9 N/A 100 absent
## 562 N/A N/A 23.9 N/A 100 absent
## 563 N/A N/A 23.9 N/A 100 absent
## 564 N/A N/A 23.9 N/A 100 absent
## 565 N/A N/A 23.9 N/A 100 absent
## 566 N/A N/A 23.9 N/A 100 absent
## 567 N/A N/A 23.9 N/A 100 absent
## 568 N/A N/A 23.9 N/A 100 absent
## 569 N/A N/A 23.9 N/A 100 absent
## 570 N/A N/A 23.7 N/A 100 absent
## 571 N/A N/A 23.7 N/A 100 absent
## 572 N/A N/A 23.7 N/A 100 absent
## 573 N/A N/A 23.7 N/A 100 absent
## 574 N/A N/A 23.7 N/A 100 absent
## 575 N/A N/A 23.7 N/A 100 absent
## 576 N/A N/A 23.7 N/A 100 absent
## 577 N/A N/A 23.7 N/A 100 absent
## 578 N/A N/A 23.7 N/A 100 absent
## 579 0.315 0.024 N/A N/A 100 present
## 580 0.315 0.024 N/A N/A 100 present
## 581 N/A N/A N/A N/A 400 present
## 582 N/A N/A N/A N/A 400 present
## 583 N/A N/A N/A N/A 400 present
## 584 N/A N/A N/A N/A 400 present
## 585 N/A N/A N/A N/A 400 present
## 586 N/A N/A 13.5 N/A 1000 absent
## 587 N/A N/A 13.5 N/A 1000 absent
## 588 N/A N/A 13.5 N/A 1000 absent
## 589 N/A N/A 13.5 N/A 1000 absent
## 590 N/A N/A 13.5 N/A 1000 absent
## 591 N/A N/A 13.5 N/A 1000 absent
## 592 N/A N/A 13.5 N/A 1000 absent
## 593 N/A N/A 13.5 N/A 1000 absent
## 594 N/A N/A 13.5 N/A 1000 absent
## 595 N/A N/A 13.5 N/A 1000 absent
## 596 N/A N/A 13.5 N/A 1000 absent
## 597 N/A N/A 13.5 N/A 1000 absent
## 598 N/A N/A 13.5 N/A 1000 absent
## 599 N/A N/A 13.5 N/A 1000 absent
## 600 N/A N/A 13.5 N/A 1000 absent
## 601 2.847 0.144 19.84 3.79 625 absent
## 602 N/A N/A N/A N/A 625 absent
## 603 N/A N/A N/A N/A 625 present
## 604 N/A N/A N/A N/A 625 absent
## 605 N/A N/A N/A N/A 625 present
## 606 N/A N/A N/A N/A 625 absent
## 607 N/A N/A N/A N/A 625 present
## 608 N/A N/A N/A N/A 625 absent
## 609 N/A N/A N/A N/A 625 present
## 610 N/A N/A N/A N/A 625 absent
## 611 N/A N/A N/A N/A 625 present
## 612 N/A N/A N/A N/A 625 absent
## 613 N/A N/A N/A N/A 625 present
## 614 N/A N/A N/A N/A 625 absent
## 615 N/A N/A N/A N/A 625 present
## 616 N/A N/A N/A N/A 625 absent
## 617 N/A N/A N/A N/A 625 present
## 618 N/A N/A N/A N/A 625 absent
## 619 N/A N/A N/A N/A 625 present
## 620 N/A N/A N/A N/A 625 absent
## 621 N/A N/A N/A N/A 625 present
## 622 N/A N/A N/A N/A 625 absent
## 623 N/A N/A N/A N/A 625 present
## 624 N/A N/A N/A N/A 625 absent
## 625 N/A N/A N/A N/A 625 present
## 626 N/A N/A N/A N/A 625 absent
## 627 N/A N/A N/A N/A 625 present
## 628 N/A N/A N/A N/A 625 absent
## 629 N/A N/A N/A N/A 625 present
## 630 N/A N/A N/A N/A 625 absent
## 631 N/A N/A N/A N/A 625 present
## 632 N/A N/A N/A N/A 625 absent
## 633 N/A N/A N/A N/A 625 present
## 634 N/A N/A N/A N/A 625 absent
## 635 N/A N/A N/A N/A 625 present
## 636 N/A N/A N/A N/A 625 absent
## 637 N/A N/A N/A N/A 625 present
## 638 N/A N/A N/A N/A 625 absent
## 639 N/A N/A N/A N/A 625 present
## 640 N/A N/A N/A N/A 625 absent
## 641 N/A N/A N/A N/A 625 present
## 642 N/A N/A N/A N/A 625 absent
## 643 N/A N/A N/A N/A 625 present
## 644 N/A N/A N/A N/A 625 absent
## 645 N/A N/A N/A N/A 625 present
## 646 N/A N/A N/A N/A 625 absent
## 647 N/A N/A N/A N/A 625 present
## 648 N/A N/A N/A N/A 625 absent
## 649 N/A N/A N/A N/A 625 present
## 650 1.2 0.09 N/A 6.18 400 present
## 651 1.2 0.09 N/A 6.18 400 present
## 652 1.2 0.09 N/A 6.18 400 present
## 653 1.2 0.09 N/A 6.18 400 present
## 654 1.2 0.09 N/A 6.18 400 present
## 655 1.2 0.09 N/A 6.18 400 present
## 656 1.2 0.09 N/A 6.18 400 present
## 657 1.2 0.09 N/A 6.18 400 present
## 658 1.2 0.09 N/A 6.18 400 present
## 659 1.2 0.09 N/A 6.18 400 present
## 660 1.2 0.09 N/A 6.18 400 present
## 661 1.2 0.09 N/A 6.18 400 present
## 662 1.2 0.09 N/A 6.18 400 present
## 663 1.2 0.09 N/A 6.18 400 present
## 664 1.2 0.09 N/A 6.18 400 present
## 665 N/A N/A N/A 7 600 present
## 666 N/A N/A N/A 7 600 present
## 667 N/A N/A N/A 7 600 present
## 668 N/A N/A N/A 7 600 present
## 669 N/A N/A N/A 7 600 present
## 670 0.79 0.082 N/A 8.92 400 present
## 671 0.79 0.082 N/A 8.92 400 present
## 672 0.79 0.082 N/A 8.92 400 present
## 673 0.79 0.082 N/A 8.92 400 present
## 674 0.79 0.082 N/A 8.92 400 present
## 675 0.79 0.082 N/A 8.92 400 present
## 676 0.79 0.082 N/A 8.92 400 present
## 677 0.79 0.082 N/A 8.92 400 present
## 678 0.79 0.082 N/A 8.92 400 present
## 679 0.79 0.082 N/A 8.92 400 present
## 680 0.79 0.082 N/A 8.92 400 present
## 681 N/A N/A N/A 5.41 400 absent
## 682 N/A N/A N/A 5.41 400 absent
## 683 N/A N/A N/A 5.41 400 absent
## 684 N/A N/A N/A 5.41 400 absent
## 685 N/A N/A N/A 5.41 400 absent
## 686 N/A N/A N/A 5.41 400 absent
## 687 N/A N/A N/A N/A 500 absent
## 688 N/A N/A N/A N/A 500 absent
## 689 N/A N/A N/A N/A 500 absent
## 690 N/A N/A N/A N/A 500 absent
## 691 N/A N/A N/A N/A 500 absent
## 692 N/A N/A N/A N/A 500 absent
## 693 N/A N/A N/A N/A 500 absent
## 694 N/A N/A N/A N/A 500 absent
## 695 N/A N/A N/A N/A 500 absent
## 696 N/A N/A N/A N/A 500 absent
## 697 N/A N/A N/A N/A 500 absent
## 698 N/A N/A N/A N/A 500 absent
## 699 N/A N/A N/A N/A 500 absent
## 700 N/A N/A N/A N/A 500 absent
## 701 N/A N/A N/A N/A 500 absent
## 702 N/A N/A N/A N/A 500 absent
## 703 N/A N/A N/A N/A 500 absent
## 704 N/A N/A N/A N/A 500 absent
## 705 N/A N/A N/A N/A 500 absent
## 706 N/A N/A N/A N/A 500 absent
## 707 N/A N/A N/A N/A 500 absent
## 708 N/A N/A N/A N/A 500 absent
## 709 N/A N/A N/A N/A 500 absent
## 710 N/A N/A N/A N/A 500 absent
## 711 N/A N/A N/A N/A 500 absent
## 712 N/A N/A N/A N/A 500 absent
## 713 N/A N/A N/A N/A 500 absent
## 714 6.88 0.28 N/A 5.65 300 absent
## 715 6.88 0.28 N/A 5.65 300 absent
## 716 6.88 0.28 N/A 5.65 300 absent
## 717 N/A N/A N/A N/A 175 present
## 718 N/A N/A N/A N/A 170 present
## 719 N/A N/A N/A N/A 150 present
## 720 N/A N/A N/A N/A 195 present
## 721 N/A N/A N/A N/A 165 present
## 722 N/A N/A N/A N/A 130 present
## 723 N/A N/A N/A N/A 120 present
## 724 N/A N/A N/A N/A 145 present
## 725 N/A N/A N/A N/A 115 present
## 726 N/A N/A N/A N/A 140 present
## 727 N/A N/A N/A N/A 200 present
## 728 N/A N/A N/A N/A 140 present
## 729 N/A N/A N/A N/A 160 present
## 730 N/A N/A N/A N/A 160 present
## 731 N/A N/A N/A N/A 120 present
## 732 N/A N/A N/A N/A 155 present
## 733 N/A N/A N/A N/A 180 present
## 734 N/A N/A N/A N/A 115 present
## 735 N/A N/A N/A N/A 175 present
## 736 N/A N/A N/A N/A 135 present
## 737 N/A N/A N/A N/A 500 present
## 738 N/A N/A N/A N/A 500 present
## 739 N/A N/A N/A N/A 500 present
## 740 N/A N/A N/A N/A 500 present
## 741 N/A N/A N/A N/A 500 present
## 742 N/A N/A N/A N/A 500 present
## 743 N/A N/A N/A N/A 500 present
## 744 N/A N/A N/A N/A 500 present
## 745 N/A N/A N/A N/A 500 present
## 746 N/A N/A N/A N/A 500 present
## 747 N/A N/A N/A N/A 500 present
## 748 N/A N/A N/A N/A 500 present
## 749 N/A N/A N/A N/A 500 present
## 750 N/A N/A N/A N/A 500 present
## 751 N/A N/A N/A N/A 500 present
## 752 N/A N/A N/A N/A 500 present
## 753 N/A N/A N/A N/A 500 present
## 754 N/A N/A N/A N/A 500 present
## 755 N/A N/A N/A N/A 500 present
## 756 N/A N/A N/A N/A 500 present
## 757 N/A N/A N/A N/A 500 present
## 758 N/A N/A N/A N/A 500 present
## 759 N/A N/A N/A N/A 500 present
## 760 N/A N/A N/A N/A 500 present
## 761 N/A N/A N/A N/A 500 present
## 762 N/A N/A N/A N/A 500 present
## 763 N/A N/A N/A N/A 500 present
## 764 N/A N/A N/A 7.3 375 absent
## 765 N/A N/A N/A 7.3 375 absent
## 766 N/A N/A N/A 7.3 187.5 absent
## 767 N/A N/A N/A 7.3 187.5 absent
## 768 N/A N/A N/A 6.5 300 absent
## 769 N/A N/A N/A 6.5 300 absent
## 770 N/A N/A N/A 6.5 300 absent
## 771 N/A N/A N/A 6.5 300 absent
## 772 N/A N/A N/A 6.5 300 absent
## 773 N/A N/A N/A 6.5 300 absent
## 774 N/A N/A N/A 6.5 300 absent
## 775 N/A N/A N/A 6.5 300 absent
## 776 N/A N/A N/A 6.5 300 absent
## 777 N/A N/A N/A 6.5 300 absent
## 778 N/A N/A N/A N/A N/A absent
## 779 N/A N/A N/A N/A N/A absent
## 780 N/A N/A N/A N/A N/A absent
## 781 N/A N/A N/A N/A N/A absent
## 782 N/A N/A N/A N/A N/A absent
## 783 N/A N/A N/A N/A N/A absent
## 784 N/A N/A N/A N/A N/A absent
## 785 N/A N/A N/A N/A N/A absent
## 786 N/A N/A N/A N/A N/A absent
## 787 N/A N/A N/A N/A N/A absent
## 788 N/A N/A N/A N/A N/A absent
## 789 N/A N/A N/A N/A N/A absent
## 790 N/A N/A N/A N/A N/A absent
## 791 N/A N/A N/A N/A N/A absent
## 792 N/A N/A N/A N/A N/A absent
## 793 N/A N/A N/A N/A N/A absent
## 794 N/A N/A N/A N/A N/A absent
## 795 N/A N/A N/A N/A N/A absent
## 796 N/A N/A N/A N/A N/A absent
## 797 N/A N/A N/A N/A N/A absent
## 798 N/A N/A N/A N/A N/A absent
## 799 N/A N/A N/A N/A N/A absent
## 800 N/A N/A N/A N/A N/A absent
## 801 N/A N/A N/A N/A N/A absent
## 802 N/A N/A N/A N/A N/A absent
## 803 N/A N/A N/A N/A N/A absent
## 804 N/A N/A N/A N/A 300 absent
## 805 N/A N/A N/A N/A 300 absent
## 806 N/A N/A N/A N/A 300 absent
## 807 N/A N/A N/A N/A 300 absent
## 808 N/A N/A N/A N/A 300 absent
## 809 N/A N/A N/A N/A 300 absent
## 810 N/A N/A N/A N/A 300 absent
## 811 N/A N/A N/A N/A 300 absent
## 812 N/A N/A N/A N/A 300 absent
## 813 N/A N/A N/A N/A 300 absent
## 814 N/A N/A N/A N/A 300 absent
## 815 N/A N/A N/A N/A 300 absent
## 816 N/A N/A N/A N/A 400 present
## 817 N/A N/A N/A N/A 400 present
## 818 N/A N/A N/A N/A 400 present
## 819 N/A N/A N/A N/A 400 present
## 820 N/A N/A N/A N/A 400 present
## 821 N/A N/A N/A N/A 400 present
## 822 N/A N/A N/A N/A 400 present
## 823 N/A N/A N/A N/A 400 present
## 824 N/A N/A N/A N/A 400 present
## 825 N/A N/A N/A N/A 400 present
## 826 N/A N/A N/A N/A 400 present
## 827 N/A N/A N/A N/A 400 present
## 828 N/A N/A N/A N/A 400 present
## 829 N/A N/A N/A N/A 400 present
## 830 N/A N/A N/A N/A 400 present
## 831 N/A N/A N/A N/A 400 present
## 832 N/A N/A N/A N/A 400 present
## 833 N/A N/A N/A N/A 400 present
## 834 N/A N/A N/A N/A 400 present
## 835 N/A N/A N/A N/A 400 present
## 836 N/A N/A N/A N/A 400 present
## 837 N/A N/A N/A N/A 400 present
## 838 N/A N/A N/A N/A 400 present
## 839 N/A N/A N/A N/A 400 present
## 840 N/A N/A N/A N/A 400 present
## 841 N/A N/A N/A N/A 400 present
## 842 N/A N/A N/A N/A 400 present
## 843 N/A N/A N/A N/A 400 present
## 844 N/A N/A N/A N/A 400 present
## 845 N/A N/A N/A N/A 400 present
## 846 N/A N/A N/A N/A 400 present
## 847 N/A N/A N/A N/A 400 present
## 848 N/A N/A N/A N/A 400 present
## 849 N/A N/A N/A N/A 400 present
## 850 N/A N/A N/A N/A 400 present
## 851 N/A N/A N/A N/A 400 present
## 852 N/A N/A N/A N/A 400 present
## 853 N/A N/A N/A N/A 400 present
## 854 N/A N/A N/A N/A 400 present
## 855 N/A N/A N/A N/A 400 present
## 856 N/A N/A N/A N/A 400 present
## 857 N/A N/A N/A N/A 400 present
## 858 N/A N/A N/A N/A 400 present
## 859 N/A N/A N/A N/A 400 present
## 860 2.04 0.163 N/A 7.2 300 absent
## 861 2.04 0.163 N/A 7.2 300 absent
## 862 2.04 0.163 N/A 7.2 300 absent
## 863 2.04 0.163 N/A 7.2 300 absent
## 864 2.04 0.163 N/A 7.2 300 absent
## 865 2.04 0.163 N/A 7.2 300 absent
## 866 2.04 0.163 N/A 7.2 300 absent
## 867 2.04 0.163 N/A 7.2 300 absent
## Top_mesh_size Fauna_group Bottom_mesh_size Burial_location Time_Days
## 1 0.1 microfauna 0.1 Surface 183
## 2 0.1 microfauna 0.1 Surface 183
## 3 0.1 microfauna 0.1 Surface 183
## 4 0.1 microfauna 0.1 Surface 243
## 5 0.1 microfauna 0.1 Surface 243
## 6 0.1 microfauna 0.1 Surface 243
## 7 0.1 microfauna 0.1 Surface 304
## 8 0.1 microfauna 0.1 Surface 304
## 9 0.1 microfauna 0.1 Surface 304
## 10 0.1 microfauna 0.1 Surface 365
## 11 0.1 microfauna 0.1 Surface 365
## 12 0.1 microfauna 0.1 Surface 365
## 13 4 macrofauna 0.1 Surface 183
## 14 4 macrofauna 0.1 Surface 183
## 15 4 macrofauna 0.1 Surface 183
## 16 4 macrofauna 0.1 Surface 243
## 17 4 macrofauna 0.1 Surface 243
## 18 4 macrofauna 0.1 Surface 243
## 19 4 macrofauna 0.1 Surface 304
## 20 4 macrofauna 0.1 Surface 304
## 21 4 macrofauna 0.1 Surface 304
## 22 4 macrofauna 0.1 Surface 365
## 23 4 macrofauna 0.1 Surface 365
## 24 4 macrofauna 0.1 Surface 365
## 25 0.5 microfauna 0.5 Surface 180
## 26 0.5 microfauna 0.5 Surface 270
## 27 0.5 microfauna 0.5 Surface 360
## 28 0.5 microfauna 0.5 Surface 450
## 29 0.5 microfauna 0.5 Surface 630
## 30 0.5 microfauna 0.5 Surface 720
## 31 0.5 microfauna 0.5 Surface 180
## 32 0.5 microfauna 0.5 Surface 270
## 33 0.5 microfauna 0.5 Surface 360
## 34 0.5 microfauna 0.5 Surface 450
## 35 0.5 microfauna 0.5 Surface 630
## 36 0.5 microfauna 0.5 Surface 720
## 37 0.5 microfauna 0.5 Surface 180
## 38 0.5 microfauna 0.5 Surface 270
## 39 0.5 microfauna 0.5 Surface 360
## 40 0.5 microfauna 0.5 Surface 450
## 41 0.5 microfauna 0.5 Surface 630
## 42 0.5 microfauna 0.5 Surface 720
## 43 4 macrofauna N/A Surface 183
## 44 4 macrofauna N/A Surface 243
## 45 4 macrofauna N/A Surface 304
## 46 4 macrofauna N/A Surface 365
## 47 4 macrofauna N/A Surface 183
## 48 4 macrofauna N/A Surface 243
## 49 4 macrofauna N/A Surface 304
## 50 4 macrofauna N/A Surface 365
## 51 4 macrofauna N/A Surface 183
## 52 4 macrofauna N/A Surface 243
## 53 4 macrofauna N/A Surface 304
## 54 4 macrofauna N/A Surface 365
## 55 4 macrofauna N/A Surface 183
## 56 4 macrofauna N/A Surface 243
## 57 4 macrofauna N/A Surface 304
## 58 4 macrofauna N/A Surface 365
## 59 N/A macrofauna N/A Surface 365
## 60 N/A macrofauna N/A Surface 730
## 61 0.068 microfauna 0.068 Surface 158
## 62 0.068 microfauna 0.068 Surface 158
## 63 0.068 microfauna 0.068 Surface 158
## 64 0.068 microfauna 0.068 Surface 158
## 65 0.068 microfauna 0.068 Surface 158
## 66 0.068 microfauna 0.068 Surface 158
## 67 0.068 microfauna 0.068 Surface 158
## 68 0.068 microfauna 0.068 Surface 158
## 69 0.068 microfauna 0.068 Surface 158
## 70 0.068 microfauna 0.068 Surface 158
## 71 0.068 microfauna 0.068 Surface 158
## 72 0.068 microfauna 0.068 Surface 158
## 73 0.068 microfauna 0.068 Surface 158
## 74 0.068 microfauna 0.068 Surface 158
## 75 8 macrofauna 0.5 Surface 158
## 76 8 macrofauna 0.5 Surface 158
## 77 8 macrofauna 0.5 Surface 158
## 78 8 macrofauna 0.5 Surface 158
## 79 8 macrofauna 0.5 Surface 158
## 80 8 macrofauna 0.5 Surface 158
## 81 8 macrofauna 0.5 Surface 158
## 82 8 macrofauna 0.5 Surface 158
## 83 8 macrofauna 0.5 Surface 158
## 84 8 macrofauna 0.5 Surface 158
## 85 8 macrofauna 0.5 Surface 158
## 86 8 macrofauna 0.5 Surface 158
## 87 8 macrofauna 0.5 Surface 158
## 88 8 macrofauna 0.5 Surface 158
## 89 1 mesofauna 1 Surface 61
## 90 1 mesofauna 1 Surface 183
## 91 1 mesofauna 1 Surface 365
## 92 7 macrofauna 2 Surface 91
## 93 7 macrofauna 2 Surface 182
## 94 7 macrofauna 2 Surface 274
## 95 7 macrofauna 2 Surface 365
## 96 7 macrofauna 2 Surface 730
## 97 7 macrofauna 2 Surface 1095
## 98 0.1 microfauna 0.1 Surface 183
## 99 0.1 microfauna 0.1 Surface 365
## 100 0.1 microfauna 0.1 Surface 548
## 101 0.1 microfauna 0.1 Surface 730
## 102 0.1 microfauna 0.1 Surface 183
## 103 0.1 microfauna 0.1 Surface 365
## 104 0.1 microfauna 0.1 Surface 548
## 105 0.1 microfauna 0.1 Surface 730
## 106 0.1 microfauna 0.1 Surface 183
## 107 0.1 microfauna 0.1 Surface 365
## 108 0.1 microfauna 0.1 Surface 548
## 109 0.1 microfauna 0.1 Surface 730
## 110 2 mesofauna 2 Surface 183
## 111 2 mesofauna 2 Surface 365
## 112 2 mesofauna 2 Surface 548
## 113 2 mesofauna 2 Surface 730
## 114 2 mesofauna 2 Surface 183
## 115 2 mesofauna 2 Surface 365
## 116 2 mesofauna 2 Surface 548
## 117 2 mesofauna 2 Surface 730
## 118 2 mesofauna 2 Surface 183
## 119 2 mesofauna 2 Surface 365
## 120 2 mesofauna 2 Surface 548
## 121 2 mesofauna 2 Surface 730
## 122 1 mesofauna 1 Surface 90
## 123 1 mesofauna 1 Surface 120
## 124 1 mesofauna 1 Surface 180
## 125 1 mesofauna 1 Surface 240
## 126 1 mesofauna 1 Surface 300
## 127 1 mesofauna 1 Surface 90
## 128 1 mesofauna 1 Surface 120
## 129 1 mesofauna 1 Surface 180
## 130 1 mesofauna 1 Surface 240
## 131 1 mesofauna 1 Surface 300
## 132 1 mesofauna 1 Surface 90
## 133 1 mesofauna 1 Surface 120
## 134 1 mesofauna 1 Surface 180
## 135 1 mesofauna 1 Surface 240
## 136 1 mesofauna 1 Surface 300
## 137 1.5 mesofauna 1.5 Surface 378
## 138 1.5 mesofauna 1.5 Surface 378
## 139 1.5 mesofauna 1.5 Surface 378
## 140 1 mesofauna 0.5 Surface 126
## 141 1 mesofauna 0.5 Surface 331
## 142 1 mesofauna 0.5 Surface 502
## 143 1 mesofauna 0.5 Surface 724
## 144 1 mesofauna 0.5 Surface 126
## 145 1 mesofauna 0.5 Surface 331
## 146 1 mesofauna 0.5 Surface 502
## 147 1 mesofauna 0.5 Surface 724
## 148 1 mesofauna 0.5 Surface 126
## 149 1 mesofauna 0.5 Surface 331
## 150 1 mesofauna 0.5 Surface 502
## 151 1 mesofauna 0.5 Surface 724
## 152 0.3 microfauna 0.3 Buried 365
## 153 0.3 microfauna 0.3 Buried 365
## 154 0.3 microfauna 0.3 Buried 365
## 155 0.3 microfauna 0.3 Buried 365
## 156 0.3 microfauna 0.3 Buried 365
## 157 0.3 microfauna 0.3 Buried 365
## 158 0.3 microfauna 0.3 Buried 365
## 159 0.3 microfauna 0.3 Buried 365
## 160 0.3 microfauna 0.3 Buried 365
## 161 0.3 microfauna 0.3 Buried 365
## 162 0.3 microfauna 0.3 Buried 365
## 163 0.3 microfauna 0.3 Buried 365
## 164 0.3 microfauna 0.3 Buried 730
## 165 0.3 microfauna 0.3 Buried 730
## 166 0.3 microfauna 0.3 Buried 730
## 167 0.3 microfauna 0.3 Buried 730
## 168 0.3 microfauna 0.3 Buried 730
## 169 0.3 microfauna 0.3 Buried 730
## 170 0.3 microfauna 0.3 Buried 730
## 171 0.3 microfauna 0.3 Buried 730
## 172 0.3 microfauna 0.3 Buried 730
## 173 0.3 microfauna 0.3 Buried 730
## 174 0.3 microfauna 0.3 Buried 730
## 175 0.3 microfauna 0.3 Buried 730
## 176 1 mesofauna 1 Surface 310
## 177 1 mesofauna 1 Surface 310
## 178 1 mesofauna 1 Surface 310
## 179 1 mesofauna 1 Surface 310
## 180 1 mesofauna 1 Surface 310
## 181 1 mesofauna 1 Surface 310
## 182 1 mesofauna 1 Surface 310
## 183 1 mesofauna 1 Surface 310
## 184 1 mesofauna 1 Surface 252
## 185 1 mesofauna 1 Surface 252
## 186 1 mesofauna 1 Surface 252
## 187 1 mesofauna 1 Surface 252
## 188 1 mesofauna 1 Surface 252
## 189 1 mesofauna 1 Surface 252
## 190 2 mesofauna 2 Surface 366
## 191 2 mesofauna 2 Surface 366
## 192 2 mesofauna 2 Surface 366
## 193 2 mesofauna 2 Surface 366
## 194 1 mesofauna 1 Surface 90
## 195 1 mesofauna 1 Surface 120
## 196 1 mesofauna 1 Surface 240
## 197 1 mesofauna 1 Surface 360
## 198 1 mesofauna 1 Surface 480
## 199 1 mesofauna 1 Surface 600
## 200 0.5 microfauna 0.25 Surface 183
## 201 0.5 microfauna 0.25 Surface 360
## 202 0.5 microfauna 0.25 Surface 560
## 203 0.5 microfauna 0.25 Surface 730
## 204 0.5 microfauna 0.25 Surface 920
## 205 0.5 microfauna 0.25 Surface 1082
## 206 0.5 microfauna 0.25 Surface 1440
## 207 0.5 microfauna 0.25 Surface 1825
## 208 0.5 microfauna 0.25 Surface 2175
## 209 0.5 microfauna 0.25 Surface 2558
## 210 0.175 microfauna 0.175 Surface 365
## 211 2 mesofauna N/A Surface 365
## 212 10 macrofauna N/A Surface 365
## 213 0.175 microfauna N/A Surface 365
## 214 2 mesofauna N/A Surface 365
## 215 10 macrofauna N/A Surface 365
## 216 1 mesofauna 1 Surface 728
## 217 1 mesofauna 1 Surface 728
## 218 1 mesofauna 1 Surface 728
## 219 1 mesofauna 1 Surface 728
## 220 1 mesofauna 1 Surface 728
## 221 1 mesofauna 1 Surface 728
## 222 2 mesofauna Surface 730
## 223 2 mesofauna Surface 730
## 224 2 mesofauna Surface 730
## 225 2 mesofauna Surface 730
## 226 1 mesofauna Surface 16
## 227 1 mesofauna Surface 16
## 228 1 mesofauna Surface 16
## 229 1 mesofauna Surface 30
## 230 1 mesofauna Surface 30
## 231 1 mesofauna Surface 30
## 232 1 mesofauna Surface 46
## 233 1 mesofauna Surface 46
## 234 1 mesofauna Surface 46
## 235 1 mesofauna Surface 61
## 236 1 mesofauna Surface 61
## 237 1 mesofauna Surface 61
## 238 1 mesofauna Surface 76
## 239 1 mesofauna Surface 76
## 240 1 mesofauna Surface 76
## 241 1 mesofauna Surface 91
## 242 1 mesofauna Surface 91
## 243 1 mesofauna Surface 91
## 244 1 mesofauna Surface 106
## 245 1 mesofauna Surface 106
## 246 1 mesofauna Surface 106
## 247 1 mesofauna Surface 122
## 248 1 mesofauna Surface 122
## 249 1 mesofauna Surface 122
## 250 1 mesofauna Surface 137
## 251 1 mesofauna Surface 137
## 252 1 mesofauna Surface 137
## 253 1 mesofauna Surface 152
## 254 1 mesofauna Surface 152
## 255 1 mesofauna Surface 152
## 256 1 mesofauna Surface 168
## 257 1 mesofauna Surface 168
## 258 1 mesofauna Surface 168
## 259 2 mesofauna Surface 32
## 260 2 mesofauna Surface 64
## 261 2 mesofauna Surface 96
## 262 2 mesofauna Surface 192
## 263 2 mesofauna Surface 361
## 264 1.2 mesofauna Surface 61
## 265 1.2 mesofauna Surface 122
## 266 1.2 mesofauna Surface 183
## 267 1.2 mesofauna Surface 243
## 268 1.2 mesofauna Surface 304
## 269 1.2 mesofauna Surface 365
## 270 1.2 mesofauna Surface 426
## 271 1.2 mesofauna Surface 487
## 272 1.2 mesofauna Surface 548
## 273 1.2 mesofauna Surface 608
## 274 1.2 mesofauna Surface 669
## 275 1.2 mesofauna Surface 730
## 276 1.2 mesofauna Surface 61
## 277 1.2 mesofauna Surface 122
## 278 1.2 mesofauna Surface 183
## 279 1.2 mesofauna Surface 243
## 280 1.2 mesofauna Surface 304
## 281 1.2 mesofauna Surface 365
## 282 1.2 mesofauna Surface 426
## 283 1.2 mesofauna Surface 487
## 284 1.2 mesofauna Surface 548
## 285 1.2 mesofauna Surface 608
## 286 1.2 mesofauna Surface 669
## 287 1.2 mesofauna Surface 730
## 288 1.2 mesofauna Surface 61
## 289 1.2 mesofauna Surface 122
## 290 1.2 mesofauna Surface 183
## 291 1.2 mesofauna Surface 243
## 292 1.2 mesofauna Surface 304
## 293 1.2 mesofauna Surface 365
## 294 1.2 mesofauna Surface 426
## 295 1.2 mesofauna Surface 487
## 296 1.2 mesofauna Surface 548
## 297 1.2 mesofauna Surface 608
## 298 1.2 mesofauna Surface 669
## 299 1.2 mesofauna Surface 730
## 300 1 mesofauna Buried 180
## 301 1 mesofauna Buried 180
## 302 1 mesofauna Buried 180
## 303 1 mesofauna Buried 180
## 304 1 mesofauna Buried 180
## 305 1 mesofauna Buried 180
## 306 1 mesofauna Buried 180
## 307 1 mesofauna Surface 363
## 308 1 mesofauna Surface 363
## 309 1 mesofauna Surface 363
## 310 1 mesofauna Surface 701
## 311 1 mesofauna Surface 701
## 312 1 mesofauna Surface 701
## 313 1.5 mesofauna Surface 360
## 314 1.5 mesofauna Surface 360
## 315 1.5 mesofauna Surface 360
## 316 1.5 mesofauna Surface 360
## 317 1.5 mesofauna Surface 360
## 318 1.5 mesofauna Surface 360
## 319 1.5 mesofauna Surface 360
## 320 1.5 mesofauna Surface 360
## 321 4 macrofauna Surface 730
## 322 4 macrofauna Surface 730
## 323 4 macrofauna Surface 730
## 324 4 macrofauna Surface 730
## 325 4 macrofauna Surface 730
## 326 4 macrofauna Surface 730
## 327 4 macrofauna Surface 730
## 328 4 macrofauna Surface 730
## 329 4 macrofauna Surface 730
## 330 4 macrofauna Surface 730
## 331 4 macrofauna Surface 730
## 332 4 macrofauna Surface 730
## 333 4 macrofauna Surface 730
## 334 4 macrofauna Surface 730
## 335 4 macrofauna Surface 730
## 336 4 macrofauna Surface 730
## 337 4 macrofauna Surface 730
## 338 4 macrofauna Surface 730
## 339 4 macrofauna Surface 730
## 340 4 macrofauna Surface 730
## 341 4 macrofauna Surface 730
## 342 4 macrofauna Surface 730
## 343 1 mesofauna Surface 360
## 344 1 mesofauna Surface 360
## 345 1 mesofauna Surface 360
## 346 1 mesofauna Surface 360
## 347 2 mesofauna Surface 178
## 348 2 mesofauna Surface 178
## 349 0.5 microfauna 0.5 Surface 122
## 350 2 mesofauna 0.5 Surface 122
## 351 0.5 microfauna 0.5 Surface 122
## 352 2 mesofauna 0.5 Surface 122
## 353 0.5 microfauna 0.5 Surface 122
## 354 2 mesofauna 0.5 Surface 122
## 355 0.5 microfauna 0.5 Surface 486
## 356 2 mesofauna 0.5 Surface 486
## 357 0.5 microfauna 0.5 Surface 486
## 358 2 mesofauna 0.5 Surface 486
## 359 0.5 microfauna 0.5 Surface 486
## 360 2 mesofauna 0.5 Surface 486
## 361 0.1 microfauna 0.1 Surface 183
## 362 0.1 microfauna 0.1 Surface 183
## 363 0.1 microfauna 0.1 Surface 183
## 364 0.1 microfauna 0.1 Surface 183
## 365 0.1 microfauna 0.1 Surface 365
## 366 0.1 microfauna 0.1 Surface 365
## 367 0.1 microfauna 0.1 Surface 365
## 368 0.1 microfauna 0.1 Surface 365
## 369 0.1 microfauna 0.1 Surface 730
## 370 0.1 microfauna 0.1 Surface 730
## 371 0.1 microfauna 0.1 Surface 730
## 372 0.1 microfauna 0.1 Surface 730
## 373 1 mesofauna N/A Surface 62
## 374 1 mesofauna N/A Surface 124
## 375 1 mesofauna N/A Surface 363
## 376 1 mesofauna N/A Surface 731
## 377 1 mesofauna N/A Surface 62
## 378 1 mesofauna N/A Surface 124
## 379 1 mesofauna N/A Surface 363
## 380 1 mesofauna N/A Surface 731
## 381 1 mesofauna N/A Surface 124
## 382 1 mesofauna N/A Surface 363
## 383 1 mesofauna N/A Surface 731
## 384 1 mesofauna N/A Surface 62
## 385 1 mesofauna N/A Surface 124
## 386 1 mesofauna N/A Surface 363
## 387 1 mesofauna N/A Surface 731
## 388 1 mesofauna N/A Surface 62
## 389 1 mesofauna N/A Surface 124
## 390 1 mesofauna N/A Surface 363
## 391 1 mesofauna N/A Surface 731
## 392 1 mesofauna N/A Surface 62
## 393 1 mesofauna N/A Surface 124
## 394 1 mesofauna N/A Surface 363
## 395 1 mesofauna N/A Surface 731
## 396 1 mesofauna N/A Surface 62
## 397 1 mesofauna N/A Surface 124
## 398 1 mesofauna N/A Surface 363
## 399 1 mesofauna N/A Surface 731
## 400 1 mesofauna N/A Surface 124
## 401 1 mesofauna N/A Surface 363
## 402 1 mesofauna N/A Surface 731
## 403 1 mesofauna N/A Surface 62
## 404 1 mesofauna N/A Surface 124
## 405 1 mesofauna N/A Surface 363
## 406 1 mesofauna N/A Surface 731
## 407 1 mesofauna N/A Surface 62
## 408 1 mesofauna N/A Surface 124
## 409 1 mesofauna N/A Surface 363
## 410 1 mesofauna N/A Surface 731
## 411 1 mesofauna N/A Surface 62
## 412 1 mesofauna N/A Surface 124
## 413 1 mesofauna N/A Surface 363
## 414 1 mesofauna N/A Surface 731
## 415 1 mesofauna N/A Surface 62
## 416 1 mesofauna N/A Surface 124
## 417 1 mesofauna N/A Surface 363
## 418 1 mesofauna N/A Surface 731
## 419 1 mesofauna N/A Surface 62
## 420 1 mesofauna N/A Surface 124
## 421 1 mesofauna N/A Surface 363
## 422 1 mesofauna N/A Surface 731
## 423 1 mesofauna N/A Surface 124
## 424 1 mesofauna N/A Surface 363
## 425 1 mesofauna N/A Surface 731
## 426 1 mesofauna N/A Surface 124
## 427 1 mesofauna N/A Surface 363
## 428 1 mesofauna N/A Surface 731
## 429 1 mesofauna N/A Surface 62
## 430 1 mesofauna N/A Surface 124
## 431 1 mesofauna N/A Surface 363
## 432 1 mesofauna N/A Surface 731
## 433 1 mesofauna N/A Surface 62
## 434 1 mesofauna N/A Surface 124
## 435 1 mesofauna N/A Surface 363
## 436 1 mesofauna N/A Surface 731
## 437 1 mesofauna N/A Surface 62
## 438 1 mesofauna N/A Surface 124
## 439 1 mesofauna N/A Surface 363
## 440 1 mesofauna N/A Surface 731
## 441 1 mesofauna N/A Surface 124
## 442 1 mesofauna N/A Surface 363
## 443 1 mesofauna N/A Surface 731
## 444 1 mesofauna N/A Surface 124
## 445 1 mesofauna N/A Surface 363
## 446 1 mesofauna N/A Surface 731
## 447 1 mesofauna N/A Surface 62
## 448 1 mesofauna N/A Surface 124
## 449 1 mesofauna N/A Surface 363
## 450 1 mesofauna N/A Surface 731
## 451 1 mesofauna N/A Surface 62
## 452 1 mesofauna N/A Surface 124
## 453 1 mesofauna N/A Surface 363
## 454 1 mesofauna N/A Surface 731
## 455 1 mesofauna N/A Surface 62
## 456 1 mesofauna N/A Surface 124
## 457 1 mesofauna N/A Surface 363
## 458 1 mesofauna N/A Surface 731
## 459 1 mesofauna N/A Surface 62
## 460 1 mesofauna N/A Surface 124
## 461 1 mesofauna N/A Surface 363
## 462 1 mesofauna N/A Surface 731
## 463 1 mesofauna N/A Surface 62
## 464 1 mesofauna N/A Surface 124
## 465 1 mesofauna N/A Surface 363
## 466 1 mesofauna N/A Surface 731
## 467 1 mesofauna N/A Surface 62
## 468 1 mesofauna N/A Surface 124
## 469 1 mesofauna N/A Surface 363
## 470 1 mesofauna N/A Surface 731
## 471 1 mesofauna N/A Surface 62
## 472 1 mesofauna N/A Surface 124
## 473 1 mesofauna N/A Surface 363
## 474 1 mesofauna N/A Surface 731
## 475 1 mesofauna N/A Surface 62
## 476 1 mesofauna N/A Surface 124
## 477 1 mesofauna N/A Surface 363
## 478 1 mesofauna N/A Surface 731
## 479 1 mesofauna N/A Surface 62
## 480 1 mesofauna N/A Surface 124
## 481 1 mesofauna N/A Surface 363
## 482 1 mesofauna N/A Surface 731
## 483 1 mesofauna N/A Surface 62
## 484 1 mesofauna N/A Surface 124
## 485 1 mesofauna N/A Surface 363
## 486 1 mesofauna N/A Surface 731
## 487 1 mesofauna N/A Surface 62
## 488 1 mesofauna N/A Surface 124
## 489 1 mesofauna N/A Surface 363
## 490 1 mesofauna N/A Surface 731
## 491 1 mesofauna N/A Surface 62
## 492 1 mesofauna N/A Surface 124
## 493 1 mesofauna N/A Surface 363
## 494 1 mesofauna N/A Surface 731
## 495 1 mesofauna N/A Surface 62
## 496 1 mesofauna N/A Surface 124
## 497 1 mesofauna N/A Surface 363
## 498 1 mesofauna N/A Surface 731
## 499 1 mesofauna N/A Surface 62
## 500 1 mesofauna N/A Surface 124
## 501 1 mesofauna N/A Surface 363
## 502 1 mesofauna N/A Surface 731
## 503 1 mesofauna N/A Surface 62
## 504 1 mesofauna N/A Surface 124
## 505 1 mesofauna N/A Surface 363
## 506 1 mesofauna N/A Surface 731
## 507 1 mesofauna N/A Surface 62
## 508 1 mesofauna N/A Surface 124
## 509 1 mesofauna N/A Surface 363
## 510 1 mesofauna N/A Surface 731
## 511 1 mesofauna N/A Surface 62
## 512 1 mesofauna N/A Surface 124
## 513 1 mesofauna N/A Surface 363
## 514 1 mesofauna N/A Surface 731
## 515 1 mesofauna N/A Surface 365
## 516 1 mesofauna N/A Surface 365
## 517 1 mesofauna N/A Surface 365
## 518 1 mesofauna N/A Surface 365
## 519 1 mesofauna N/A Surface 365
## 520 1 mesofauna N/A Surface 365
## 521 1 mesofauna N/A Surface 365
## 522 1 mesofauna N/A Surface 365
## 523 1 mesofauna N/A Surface 365
## 524 1 mesofauna N/A Surface 365
## 525 1 mesofauna N/A Surface 365
## 526 1 mesofauna N/A Surface 365
## 527 1 mesofauna N/A Surface 365
## 528 1 mesofauna N/A Surface 365
## 529 1 mesofauna N/A Surface 365
## 530 1 mesofauna N/A Surface 365
## 531 1 mesofauna N/A Surface 365
## 532 1 mesofauna N/A Surface 365
## 533 1 mesofauna N/A Surface 365
## 534 1 mesofauna N/A Surface 365
## 535 1 mesofauna N/A Surface 365
## 536 1 mesofauna N/A Surface 365
## 537 1 mesofauna N/A Surface 365
## 538 1 mesofauna N/A Surface 365
## 539 1 mesofauna 1 Surface 183
## 540 1 mesofauna 1 Surface 365
## 541 1 mesofauna 1 Surface 730
## 542 1 mesofauna 1 Surface 1095
## 543 1 mesofauna 1 Surface 365
## 544 1 mesofauna 1 Surface 365
## 545 1 mesofauna 1 Surface 365
## 546 1 mesofauna 1 Surface 365
## 547 1 mesofauna 1 Surface 365
## 548 1 mesofauna 1 Surface 365
## 549 1 mesofauna 1 Surface 365
## 550 1 mesofauna 1 Surface 365
## 551 1 mesofauna 1 Surface 365
## 552 1 mesofauna 1 Surface 365
## 553 1 mesofauna 1 Surface 365
## 554 1 mesofauna 1 Surface 365
## 555 1 mesofauna 1 Surface 365
## 556 1 mesofauna 1 Surface 365
## 557 1 mesofauna 1 Surface 365
## 558 1 mesofauna 1 Surface 365
## 559 1 mesofauna 1 Surface 365
## 560 1 mesofauna 1 Surface 365
## 561 1 mesofauna 1 Surface 730
## 562 1 mesofauna 1 Surface 730
## 563 1 mesofauna 1 Surface 730
## 564 1 mesofauna 1 Surface 730
## 565 1 mesofauna 1 Surface 730
## 566 1 mesofauna 1 Surface 730
## 567 1 mesofauna 1 Surface 730
## 568 1 mesofauna 1 Surface 730
## 569 1 mesofauna 1 Surface 730
## 570 1 mesofauna 1 Surface 730
## 571 1 mesofauna 1 Surface 730
## 572 1 mesofauna 1 Surface 730
## 573 1 mesofauna 1 Surface 730
## 574 1 mesofauna 1 Surface 730
## 575 1 mesofauna 1 Surface 730
## 576 1 mesofauna 1 Surface 730
## 577 1 mesofauna 1 Surface 730
## 578 1 mesofauna 1 Surface 730
## 579 2 mesofauna 1 Surface 365
## 580 2 mesofauna 1 Surface 365
## 581 2 mesofauna N/A Surface 30
## 582 2 mesofauna N/A Surface 240
## 583 2 mesofauna N/A Surface 270
## 584 2 mesofauna N/A Surface 300
## 585 2 mesofauna N/A Surface 330
## 586 0.7 microfauna 0.7 Surface 700
## 587 0.7 microfauna 0.7 Surface 700
## 588 0.7 microfauna 0.7 Surface 700
## 589 0.7 microfauna 0.7 Surface 700
## 590 0.7 microfauna 0.7 Surface 700
## 591 0.7 microfauna 0.7 Surface 700
## 592 0.7 microfauna 0.7 Surface 700
## 593 0.7 microfauna 0.7 Surface 700
## 594 0.7 microfauna 0.7 Surface 700
## 595 0.7 microfauna 0.7 Surface 700
## 596 0.7 microfauna 0.7 Surface 700
## 597 0.7 microfauna 0.7 Surface 700
## 598 0.7 microfauna 0.7 Surface 700
## 599 0.7 microfauna 0.7 Surface 700
## 600 0.7 microfauna 0.7 Surface 700
## 601 1 mesofauna 1 Surface 365
## 602 0.02 microfauna Surface 90
## 603 5 macrofauna Surface 90
## 604 0.02 microfauna Surface 90
## 605 5 macrofauna Surface 90
## 606 0.02 microfauna Surface 90
## 607 5 macrofauna Surface 90
## 608 0.02 microfauna Surface 90
## 609 5 macrofauna Surface 90
## 610 0.02 microfauna Surface 90
## 611 5 macrofauna Surface 90
## 612 0.02 microfauna Surface 90
## 613 5 macrofauna Surface 90
## 614 0.02 microfauna Surface 90
## 615 5 macrofauna Surface 90
## 616 0.02 microfauna Surface 90
## 617 5 macrofauna Surface 90
## 618 0.02 microfauna Surface 90
## 619 5 macrofauna Surface 90
## 620 0.02 microfauna Surface 90
## 621 5 macrofauna Surface 90
## 622 0.02 microfauna Surface 90
## 623 5 macrofauna Surface 90
## 624 0.02 microfauna Surface 90
## 625 5 macrofauna Surface 90
## 626 0.02 microfauna Surface 180
## 627 5 macrofauna Surface 180
## 628 0.02 microfauna Surface 180
## 629 5 macrofauna Surface 180
## 630 0.02 microfauna Surface 180
## 631 5 macrofauna Surface 180
## 632 0.02 microfauna Surface 180
## 633 5 macrofauna Surface 180
## 634 0.02 microfauna Surface 180
## 635 5 macrofauna Surface 180
## 636 0.02 microfauna Surface 180
## 637 5 macrofauna Surface 180
## 638 0.02 microfauna Surface 180
## 639 5 macrofauna Surface 180
## 640 0.02 microfauna Surface 180
## 641 5 macrofauna Surface 180
## 642 0.02 microfauna Surface 180
## 643 5 macrofauna Surface 180
## 644 0.02 microfauna Surface 180
## 645 5 macrofauna Surface 180
## 646 0.02 microfauna Surface 180
## 647 5 macrofauna Surface 180
## 648 0.02 microfauna Surface 180
## 649 5 macrofauna Surface 180
## 650 2 mesofauna Surface 28
## 651 2 mesofauna Surface 28
## 652 2 mesofauna Surface 28
## 653 2 mesofauna Surface 56
## 654 2 mesofauna Surface 56
## 655 2 mesofauna Surface 56
## 656 2 mesofauna Surface 84
## 657 2 mesofauna Surface 84
## 658 2 mesofauna Surface 84
## 659 2 mesofauna Surface 112
## 660 2 mesofauna Surface 112
## 661 2 mesofauna Surface 112
## 662 2 mesofauna Surface 140
## 663 2 mesofauna Surface 140
## 664 2 mesofauna Surface 140
## 665 2 mesofauna Surface 60
## 666 2 mesofauna Surface 120
## 667 2 mesofauna Surface 180
## 668 2 mesofauna Surface 270
## 669 2 mesofauna Surface 400
## 670 2 mesofauna Surface 1095
## 671 2 mesofauna Surface 1095
## 672 2 mesofauna Surface 1095
## 673 2 mesofauna Surface 1095
## 674 2 mesofauna Surface 1095
## 675 2 mesofauna Surface 1095
## 676 2 mesofauna Surface 1095
## 677 2 mesofauna Surface 1095
## 678 2 mesofauna Surface 1095
## 679 2 mesofauna Surface 1095
## 680 2 mesofauna Surface 1095
## 681 1 mesofauna Surface 213
## 682 1 mesofauna Surface 274
## 683 1 mesofauna Surface 335
## 684 1 mesofauna Surface 578
## 685 1 mesofauna Surface 639
## 686 1 mesofauna Surface 700
## 687 1 mesofauna Surface 28
## 688 1 mesofauna Surface 28
## 689 1 mesofauna Surface 28
## 690 1 mesofauna Surface 56
## 691 1 mesofauna Surface 56
## 692 1 mesofauna Surface 56
## 693 1 mesofauna Surface 112
## 694 1 mesofauna Surface 112
## 695 1 mesofauna Surface 112
## 696 1 mesofauna Surface 168
## 697 1 mesofauna Surface 168
## 698 1 mesofauna Surface 168
## 699 1 mesofauna Surface 196
## 700 1 mesofauna Surface 196
## 701 1 mesofauna Surface 196
## 702 1 mesofauna Surface 224
## 703 1 mesofauna Surface 224
## 704 1 mesofauna Surface 224
## 705 1 mesofauna Surface 252
## 706 1 mesofauna Surface 252
## 707 1 mesofauna Surface 252
## 708 1 mesofauna Surface 308
## 709 1 mesofauna Surface 308
## 710 1 mesofauna Surface 308
## 711 1 mesofauna Surface 364
## 712 1 mesofauna Surface 364
## 713 1 mesofauna Surface 364
## 714 1 mesofauna Surface 60
## 715 1 mesofauna Surface 119
## 716 1 mesofauna Surface 181
## 717 3 macrofauna Surface 315
## 718 3 macrofauna Surface 315
## 719 3 macrofauna Surface 315
## 720 3 macrofauna Surface 315
## 721 3 macrofauna Surface 315
## 722 3 macrofauna Surface 315
## 723 3 macrofauna Surface 315
## 724 3 macrofauna Surface 315
## 725 3 macrofauna Surface 315
## 726 3 macrofauna Surface 315
## 727 3 macrofauna Surface 315
## 728 3 macrofauna Surface 315
## 729 3 macrofauna Surface 315
## 730 3 macrofauna Surface 315
## 731 3 macrofauna Surface 315
## 732 3 macrofauna Surface 315
## 733 3 macrofauna Surface 315
## 734 3 macrofauna Surface 315
## 735 3 macrofauna Surface 315
## 736 3 macrofauna Surface 315
## 737 2 mesofauna 0.2 Surface 60
## 738 2 mesofauna 0.2 Surface 60
## 739 2 mesofauna 0.2 Surface 60
## 740 2 mesofauna 0.2 Surface 60
## 741 2 mesofauna 0.2 Surface 60
## 742 2 mesofauna 0.2 Surface 60
## 743 2 mesofauna 0.2 Surface 60
## 744 2 mesofauna 0.2 Surface 60
## 745 2 mesofauna 0.2 Surface 60
## 746 2 mesofauna 0.2 Surface 120
## 747 2 mesofauna 0.2 Surface 120
## 748 2 mesofauna 0.2 Surface 120
## 749 2 mesofauna 0.2 Surface 120
## 750 2 mesofauna 0.2 Surface 120
## 751 2 mesofauna 0.2 Surface 120
## 752 2 mesofauna 0.2 Surface 120
## 753 2 mesofauna 0.2 Surface 120
## 754 2 mesofauna 0.2 Surface 120
## 755 2 mesofauna 0.2 Surface 240
## 756 2 mesofauna 0.2 Surface 240
## 757 2 mesofauna 0.2 Surface 240
## 758 2 mesofauna 0.2 Surface 240
## 759 2 mesofauna 0.2 Surface 240
## 760 2 mesofauna 0.2 Surface 240
## 761 2 mesofauna 0.2 Surface 240
## 762 2 mesofauna 0.2 Surface 240
## 763 2 mesofauna 0.2 Surface 240
## 764 1 mesofauna Surface 403
## 765 1 mesofauna Surface 403
## 766 1 mesofauna Surface 403
## 767 1 mesofauna Surface 403
## 768 0.25 microfauna 0.25 Surface 61
## 769 0.25 microfauna 0.25 Surface 141
## 770 0.25 microfauna 0.25 Surface 322
## 771 0.25 microfauna 0.25 Surface 398
## 772 0.25 microfauna 0.25 Surface 61
## 773 0.25 microfauna 0.25 Surface 141
## 774 0.25 microfauna 0.25 Surface 322
## 775 0.25 microfauna 0.25 Surface 398
## 776 0.25 microfauna 0.25 Surface 451
## 777 0.25 microfauna 0.25 Surface 451
## 778 0.3 microfauna 0.3 Buried 80
## 779 0.3 microfauna 0.3 Buried 80
## 780 0.3 microfauna 0.3 Buried 80
## 781 0.3 microfauna 0.3 Buried 80
## 782 0.3 microfauna 0.3 Buried 80
## 783 0.3 microfauna 0.3 Buried 80
## 784 0.3 microfauna 0.3 Buried 80
## 785 0.3 microfauna 0.3 Buried 80
## 786 0.3 microfauna 0.3 Buried 80
## 787 0.3 microfauna 0.3 Buried 80
## 788 0.3 microfauna 0.3 Buried 80
## 789 0.3 microfauna 0.3 Buried 80
## 790 0.3 microfauna 0.3 Buried 80
## 791 0.3 microfauna 0.3 Buried 80
## 792 0.3 microfauna 0.3 Buried 80
## 793 0.3 microfauna 0.3 Buried 80
## 794 0.3 microfauna 0.3 Buried 80
## 795 0.3 microfauna 0.3 Buried 80
## 796 0.3 microfauna 0.3 Buried 80
## 797 0.3 microfauna 0.3 Buried 80
## 798 0.3 microfauna 0.3 Buried 80
## 799 0.3 microfauna 0.3 Buried 80
## 800 0.3 microfauna 0.3 Buried 80
## 801 0.3 microfauna 0.3 Buried 80
## 802 0.3 microfauna 0.3 Buried 80
## 803 0.3 microfauna 0.3 Buried 80
## 804 1 mesofauna 1 Surface 61
## 805 1 mesofauna 1 Surface 152
## 806 1 mesofauna 1 Surface 365
## 807 1 mesofauna 1 Surface 487
## 808 1 mesofauna 1 Surface 61
## 809 1 mesofauna 1 Surface 152
## 810 1 mesofauna 1 Surface 365
## 811 1 mesofauna 1 Surface 487
## 812 1 mesofauna 1 Surface 61
## 813 1 mesofauna 1 Surface 152
## 814 1 mesofauna 1 Surface 365
## 815 1 mesofauna 1 Surface 487
## 816 2 mesofauna 2 Surface 730
## 817 2 mesofauna 2 Surface 730
## 818 2 mesofauna 2 Surface 730
## 819 2 mesofauna 2 Surface 730
## 820 2 mesofauna 2 Surface 730
## 821 2 mesofauna 2 Surface 730
## 822 2 mesofauna 2 Surface 730
## 823 2 mesofauna 2 Surface 730
## 824 2 mesofauna 2 Surface 730
## 825 2 mesofauna 2 Surface 730
## 826 2 mesofauna 2 Surface 730
## 827 2 mesofauna 2 Surface 730
## 828 2 mesofauna 2 Surface 730
## 829 2 mesofauna 2 Surface 730
## 830 2 mesofauna 2 Surface 730
## 831 2 mesofauna 2 Surface 730
## 832 2 mesofauna 2 Surface 730
## 833 2 mesofauna 2 Surface 730
## 834 2 mesofauna 2 Surface 730
## 835 2 mesofauna 2 Surface 730
## 836 2 mesofauna 2 Surface 730
## 837 2 mesofauna 2 Surface 730
## 838 2 mesofauna 2 Surface 730
## 839 2 mesofauna 2 Surface 730
## 840 2 mesofauna 2 Surface 730
## 841 2 mesofauna 2 Surface 730
## 842 2 mesofauna 2 Surface 730
## 843 2 mesofauna 2 Surface 730
## 844 2 mesofauna 2 Surface 730
## 845 2 mesofauna 2 Surface 730
## 846 2 mesofauna 2 Surface 730
## 847 2 mesofauna 2 Surface 730
## 848 2 mesofauna 2 Surface 730
## 849 2 mesofauna 2 Surface 730
## 850 2 mesofauna 2 Surface 730
## 851 2 mesofauna 2 Surface 730
## 852 2 mesofauna 2 Surface 730
## 853 2 mesofauna 2 Surface 730
## 854 2 mesofauna 2 Surface 730
## 855 2 mesofauna 2 Surface 730
## 856 2 mesofauna 2 Surface 730
## 857 2 mesofauna 2 Surface 730
## 858 2 mesofauna 2 Surface 730
## 859 2 mesofauna 2 Surface 730
## 860 1 mesofauna 1 Surface 162
## 861 1 mesofauna 1 Surface 252
## 862 1 mesofauna 1 Surface 341
## 863 1 mesofauna 1 Surface 620
## 864 1 mesofauna 1 Surface 706
## 865 1 mesofauna 1 Surface 911
## 866 1 mesofauna 1 Surface 991
## 867 1 mesofauna 1 Surface 1072
## Duration_period spc_abbr
## 1 medium Be,Ra
## 2 medium Be,Pk
## 3 medium Be,Pk,Ra
## 4 medium Be,Ra
## 5 medium Be,Pk
## 6 medium Be,Pk,Ra
## 7 medium Be,Ra
## 8 medium Be,Pk
## 9 medium Be,Pk,Ra
## 10 long Be,Ra
## 11 long Be,Pk
## 12 long Be,Pk,Ra
## 13 medium Be,Ra
## 14 medium Be,Pk
## 15 medium Be,Pk,Ra
## 16 medium Be,Ra
## 17 medium Be,Pk
## 18 medium Be,Pk,Ra
## 19 medium Be,Ra
## 20 medium Be,Pk
## 21 medium Be,Pk,Ra
## 22 long Be,Ra
## 23 long Be,Pk
## 24 long Be,Pk,Ra
## 25 short Lg,Am
## 26 medium Lg,Am
## 27 medium Lg,Am
## 28 long Lg,Am
## 29 long Lg,Am
## 30 long Lg,Am
## 31 short Lg,Qm
## 32 medium Lg,Qm
## 33 medium Lg,Qm
## 34 long Lg,Qm
## 35 long Lg,Qm
## 36 long Lg,Qm
## 37 short Lg,Jm
## 38 medium Lg,Jm
## 39 medium Lg,Jm
## 40 long Lg,Jm
## 41 long Lg,Jm
## 42 long Lg,Jm
## 43 medium Pk,Fm
## 44 medium Pk,Fm
## 45 medium Pk,Fm
## 46 long Pk,Fm
## 47 medium Pk,Ta
## 48 medium Pk,Ta
## 49 medium Pk,Ta
## 50 long Pk,Ta
## 51 medium Pk,Am
## 52 medium Pk,Am
## 53 medium Pk,Am
## 54 long Pk,Am
## 55 medium PK,Fm,Ta,Am
## 56 medium PK,Fm,Ta,Am
## 57 medium PK,Fm,Ta,Am
## 58 long PK,Fm,Ta,Am
## 59 long Ba-a,As,Qr
## 60 very long Ba-a,As,Qr
## 61 short Cp and Hm
## 62 short Cp and Sr
## 63 short Gg and Sm
## 64 short Gg and Vs
## 65 short Hc and Pi
## 66 short Pi and Vs
## 67 short CP, Hc and Vs
## 68 short Cp, Pi, and Vs
## 69 short Gg, Hs and Sr
## 70 short Gg,pi,Sr
## 71 short Cp,Gg,Pi and Sr
## 72 short Cp,Hc,Pi and Vs
## 73 short Gg, Hc, Sr, and Vs
## 74 short Cp,Gg,Ps,Sr,Hc,Vs
## 75 short Cp and Hm
## 76 short Cp and Sr
## 77 short Gg and Sm
## 78 short Gg and Vs
## 79 short Hc and Pi
## 80 short Pi and Vs
## 81 short CP, Hc and Vs
## 82 short Cp, Pi, and Vs
## 83 short Gg, Hs and Sr
## 84 short Gg,pi,Sr
## 85 short Cp,Gg,Pi and Sr
## 86 short Cp,Hc,Pi and Vs
## 87 short Gg, Hc, Sr, and Vs
## 88 short Cp,Gg,Ps,Sr,Hc,Vs
## 89 short Ge and Pn
## 90 medium Ge and Pn
## 91 long Ge and Pn
## 92 short Qp,Fs
## 93 medium Qp,Fs
## 94 medium Qp,Fs
## 95 long Qp,Fs
## 96 very long Qp,Fs
## 97 very long Qp,Fs
## 98 medium Be,Ra
## 99 long Be,Ra
## 100 long Be,Ra
## 101 very long Be,Ra
## 102 medium Be,Pk
## 103 long Be,Pk
## 104 long Be,Pk
## 105 very long Be,Pk
## 106 medium Be,Ra,Pk
## 107 long Be,Ra,Pk
## 108 long Be,Ra,Pk
## 109 very long Be,Ra,Pk
## 110 medium Be,Ra
## 111 long Be,Ra
## 112 long Be,Ra
## 113 very long Be,Ra
## 114 medium Be,Pk
## 115 long Be,Pk
## 116 long Be,Pk
## 117 very long Be,Pk
## 118 medium Be,Ra,Pk
## 119 long Be,Ra,Pk
## 120 long Be,Ra,Pk
## 121 very long Be,Ra,Pk
## 122 short Fb,Sv
## 123 short Fb,Sv
## 124 short Fb,Sv
## 125 medium Fb,Sv
## 126 medium Fb,Sv
## 127 short Fb,Sv
## 128 short Fb,Sv
## 129 short Fb,Sv
## 130 medium Fb,Sv
## 131 medium Fb,Sv
## 132 short Fb,Sv
## 133 short Fb,Sv
## 134 short Fb,Sv
## 135 medium Fb,Sv
## 136 medium Fb,Sv
## 137 long Cf,Ar
## 138 long Ar,Qp
## 139 long Cf,Ar,Qp
## 140 short T,S,H
## 141 medium T,S,H
## 142 long T,S,H
## 143 very long T,S,H
## 144 short T,S,H
## 145 medium T,S,H
## 146 long T,S,H
## 147 very long T,S,H
## 148 short T,S,H
## 149 medium T,S,H
## 150 long T,S,H
## 151 very long T,S,H
## 152 long Ba,Bn
## 153 long Ba,Vu
## 154 long Ba,En
## 155 long Ba,Vv
## 156 long Ba,Rc
## 157 long Af,Bn
## 158 long Af,Vv
## 159 long Af,Vu
## 160 long Af,Vn
## 161 long Af,Rc
## 162 long Pl,Vu
## 163 long Bn,Vu
## 164 very long Ba,Bn
## 165 very long Ba,Vu
## 166 very long Ba,En
## 167 very long Ba,Vv
## 168 very long Ba,Rc
## 169 very long Af,Bn
## 170 very long Af,Vv
## 171 very long Af,Vu
## 172 very long Af,Vn
## 173 very long Af,Rc
## 174 very long Pl,Vu
## 175 very long Bn,Vu
## 176 medium Ce,Pm
## 177 medium Ce,Pm
## 178 medium Ce,Pm
## 179 medium Ce,Pm
## 180 medium Ce,Pm
## 181 medium Ce,Pm
## 182 medium Ce,Pm
## 183 medium Ce,Pm
## 184 medium Fa and Vp
## 185 medium Fa and Vp
## 186 medium Fa and Vp
## 187 medium Fa and Vp
## 188 medium Fa and Vp
## 189 medium Fa and Vp
## 190 long Nd,Nn,No
## 191 long Nd,Nn,No
## 192 long Nd,Nn,No
## 193 long Nd,Nn,No
## 194 short Ce,Mm
## 195 short Ce,Mm
## 196 medium Ce,Mm
## 197 medium Ce,Mm
## 198 long Ce,Mm
## 199 long Ce,Mm
## 200 medium Av,Pc
## 201 medium Av,Pc
## 202 long Av,Pc
## 203 very long Av,Pc
## 204 very long Av,Pc
## 205 very long Av,Pc
## 206 very long Av,Pc
## 207 very long Av,Pc
## 208 very long Av,Pc
## 209 very long Av,Pc
## 210 long Fs,Cb
## 211 long Fs,Cb
## 212 long Fs,Cb
## 213 long Fs,Cb
## 214 long Fs,Cb
## 215 long Fs,Cb
## 216 very long Fq,Lm
## 217 very long Qm,Lm
## 218 very long Co,Lm
## 219 very long Fq,Lm
## 220 very long Qm,Lm
## 221 very long Co,Lm
## 222 very long Nd,Nn,No
## 223 very long Nd,Nn,No
## 224 very long Nd,Nn,No
## 225 very long Nd,Nn,No
## 226 short Eg,Af
## 227 short Eg,Af
## 228 short Eg,Af
## 229 short Eg,Af
## 230 short Eg,Af
## 231 short Eg,Af
## 232 short Eg,Af
## 233 short Eg,Af
## 234 short Eg,Af
## 235 short Eg,Af
## 236 short Eg,Af
## 237 short Eg,Af
## 238 short Eg,Af
## 239 short Eg,Af
## 240 short Eg,Af
## 241 short Eg,Af
## 242 short Eg,Af
## 243 short Eg,Af
## 244 short Eg,Af
## 245 short Eg,Af
## 246 short Eg,Af
## 247 short Eg,Af
## 248 short Eg,Af
## 249 short Eg,Af
## 250 short Eg,Af
## 251 short Eg,Af
## 252 short Eg,Af
## 253 short Eg,Af
## 254 short Eg,Af
## 255 short Eg,Af
## 256 short Eg,Af
## 257 short Eg,Af
## 258 short Eg,Af
## 259 short Pe,CP, Cg
## 260 short Pe,CP, Cg
## 261 short Pe,CP, Cg
## 262 short Pe,CP, Cg
## 263 short Pe,CP, Cg
## 264 short Qm,Pk
## 265 short Qm,Pk
## 266 medium Qm,Pk
## 267 medium Qm,Pk
## 268 medium Qm,Pk
## 269 long Qm,Pk
## 270 long Qm,Pk
## 271 long Qm,Pk
## 272 long Qm,Pk
## 273 long Qm,Pk
## 274 long Qm,Pk
## 275 very long Qm,Pk
## 276 short Qm,Pk
## 277 short Qm,Pk
## 278 medium Qm,Pk
## 279 medium Qm,Pk
## 280 medium Qm,Pk
## 281 long Qm,Pk
## 282 long Qm,Pk
## 283 long Qm,Pk
## 284 long Qm,Pk
## 285 long Qm,Pk
## 286 long Qm,Pk
## 287 very long Qm,Pk
## 288 short Qm,Pk
## 289 short Qm,Pk
## 290 medium Qm,Pk
## 291 medium Qm,Pk
## 292 medium Qm,Pk
## 293 long Qm,Pk
## 294 long Qm,Pk
## 295 long Qm,Pk
## 296 long Qm,Pk
## 297 long Qm,Pk
## 298 long Qm,Pk
## 299 very long Qm,Pk
## 300 short Fv,Mm
## 301 short Lg,Mm
## 302 short Cc,Mm
## 303 short Ac,Mm
## 304 short Pm,Mm
## 305 short Ss,Mm
## 306 short Cc,Mm
## 307 long Jc,Cb
## 308 long Jc,Fn
## 309 long Cb,Fn
## 310 very long Jc,Cb
## 311 very long Jc,Fn
## 312 very long Cb,Fn
## 313 long Pd,Bp
## 314 long Pd,Ql
## 315 long Bp,Ql
## 316 long Pd,Bp
## 317 long Pd,Ql
## 318 long Bp,Ql
## 319 long Bp,Pd,Ql
## 320 long Bp,Pd,Qm
## 321 very long Am,Cc
## 322 very long Am,Ph
## 323 very long Am,Qp
## 324 very long Cc,Ph
## 325 very long Cc,Qp
## 326 very long Ph,Qp
## 327 very long Am,Cc,Ph
## 328 very long Am,Cc,Qp
## 329 very long Am,Ph,Qp
## 330 very long Cc,Ph,Qp
## 331 very long Am,Cc,Ph,Qp
## 332 very long Am,Cc
## 333 very long Am,Ph
## 334 very long Am,Qp
## 335 very long Cc,Ph
## 336 very long Cc,Qp
## 337 very long Ph,Qp
## 338 very long Am,Cc,Ph
## 339 very long Am,Cc,Qp
## 340 very long Am,Ph,Qp
## 341 very long Cc,Ph,Qp
## 342 very long Am,Cc,Ph,Qp
## 343 medium Pm,Cf
## 344 medium Pm,Qv
## 345 medium Cf,Qv
## 346 medium Pm,Cf,Qv
## 347 short Ai, Cn
## 348 short Ai, Cn
## 349 short Ps,Px
## 350 short Ps,Px
## 351 short Ps,Px
## 352 short Ps,Px
## 353 short Ps,Px
## 354 short Ps,Px
## 355 long Ps,Px
## 356 long Ps,Px
## 357 long Ps,Px
## 358 long Ps,Px
## 359 long Ps,Px
## 360 long Ps,Px
## 361 medium Vv,Dg
## 362 medium Vv,Gs
## 363 medium Dg,Gs
## 364 medium Vv,Dg,Gs
## 365 long Vv,Dg
## 366 long Vv,Gs
## 367 long Dg,Gs
## 368 long Vv,Dg,Gs
## 369 very long Vv,Dg
## 370 very long Vv,Gs
## 371 very long Dg,Gs
## 372 very long Vv,Dg,Gs
## 373 short An,Ar
## 374 short An,Ar
## 375 long An,Ar
## 376 very long An,Ar
## 377 short Bp,Ta
## 378 short Bp,Ta
## 379 long Bp,Ta
## 380 very long Bp,Ta
## 381 short Jv,Pb
## 382 long Jv,Pb
## 383 very long Jv,Pb
## 384 short Jv,Pr
## 385 short Jv,Pr
## 386 long Jv,Pr
## 387 very long Jv,Pr
## 388 short Jv,Qr
## 389 short Jv,Qr
## 390 long Jv,Qr
## 391 very long Jv,Qr
## 392 short Jv,Qm
## 393 short Jv,Qm
## 394 long Jv,Qm
## 395 very long Jv,Qm
## 396 short Pb,Pr
## 397 short Pb,Pr
## 398 long Pb,Pr
## 399 very long Pb,Pr
## 400 short Pb,Ps
## 401 long Pb,Ps
## 402 very long Pb,Ps
## 403 short Pr,Ps
## 404 short Pr,Ps
## 405 long Pr,Ps
## 406 very long Pr,Ps
## 407 short Pr,Qa
## 408 short Pr,Qa
## 409 long Pr,Qa
## 410 very long Pr,Qa
## 411 short Pr,Qr
## 412 short Pr,Qr
## 413 long Pr,Qr
## 414 very long Pr,Qr
## 415 short An,Qa
## 416 short An,Qa
## 417 long An,Qa
## 418 very long An,Qa
## 419 short Ps,Qa
## 420 short Ps,Qa
## 421 long Ps,Qa
## 422 very long Ps,Qa
## 423 short Ps,Qe
## 424 long Ps,Qe
## 425 very long Ps,Qe
## 426 short Ps,Qr
## 427 long Ps,Qr
## 428 very long Ps,Qr
## 429 short Ps,Ta
## 430 short Ps,Ta
## 431 long Ps,Ta
## 432 very long Ps,Ta
## 433 short Qa,Qm
## 434 short Qa,Qm
## 435 long Qa,Qm
## 436 very long Qa,Qm
## 437 short Qe,Qm
## 438 short Qe,Qm
## 439 long Qe,Qm
## 440 very long Qe,Qm
## 441 short Qe,Qr
## 442 long Qe,Qr
## 443 very long Qe,Qr
## 444 short Qm,Qr
## 445 long Qm,Qr
## 446 very long Qm,Qr
## 447 short Qm,Ta
## 448 short Qm,Ta
## 449 long Qm,Ta
## 450 very long Qm,Ta
## 451 short An,Qe
## 452 short An,Qe
## 453 long An,Qe
## 454 very long An,Qe
## 455 short Ar,Jv
## 456 short Ar,Jv
## 457 long Ar,Jv
## 458 very long Ar,Jv
## 459 short Ar,Pb
## 460 short Ar,Pb
## 461 long Ar,Pb
## 462 very long Ar,Pb
## 463 short Ar,Ta
## 464 short Ar,Ta
## 465 long Ar,Ta
## 466 very long Ar,Ta
## 467 short Bp,Pb
## 468 short Bp,Pb
## 469 long Bp,Pb
## 470 very long Bp,Pb
## 471 short Bp,Qe
## 472 short Bp,Qe
## 473 long Bp,Qe
## 474 very long Bp,Qe
## 475 short Bp,Qm
## 476 short Bp,Qm
## 477 long Bp,Qm
## 478 very long Bp,Qm
## 479 short An,Bp,Pr,Qr,Ta
## 480 short An,Bp,Pr,Qr,Ta
## 481 long An,Bp,Pr,Qr,Ta
## 482 very long An,Bp,Pr,Qr,Ta
## 483 short Ar,Bp,Jv,Qa,Qm
## 484 short Ar,Bp,Jv,Qa,Qm
## 485 long Ar,Bp,Jv,Qa,Qm
## 486 very long Ar,Bp,Jv,Qa,Qm
## 487 short An,Ar,Bp,Qe,Qr
## 488 short An,Ar,Bp,Qe,Qr
## 489 long An,Ar,Bp,Qe,Qr
## 490 very long An,Ar,Bp,Qe,Qr
## 491 short Ar,Pb,Pr,Qa,Qm
## 492 short Ar,Pb,Pr,Qa,Qm
## 493 long Ar,Pb,Pr,Qa,Qm
## 494 very long Ar,Pb,Pr,Qa,Qm
## 495 short Ar,Pb,Pr,Qe,Qm
## 496 short Ar,Pb,Pr,Qe,Qm
## 497 long Ar,Pb,Pr,Qe,Qm
## 498 very long Ar,Pb,Pr,Qe,Qm
## 499 short Ar,Pr,Ps,Qa,Qm
## 500 short Ar,Pr,Ps,Qa,Qm
## 501 long Ar,Pr,Ps,Qa,Qm
## 502 very long Ar,Pr,Ps,Qa,Qm
## 503 short Ar,Pr,Qa,Qe,Qm
## 504 short Ar,Pr,Qa,Qe,Qm
## 505 long Ar,Pr,Qa,Qe,Qm
## 506 very long Ar,Pr,Qa,Qe,Qm
## 507 short Ar,Jv,Pr,Qe,Qm
## 508 short Ar,Jv,Pr,Qe,Qm
## 509 long Ar,Jv,Pr,Qe,Qm
## 510 very long Ar,Jv,Pr,Qe,Qm
## 511 short An,Ar,Bp,Jv,Pb,Pr,Ps,Qa,Qe,Qm,Qr,Ta
## 512 short An,Ar,Bp,Jv,Pb,Pr,Ps,Qa,Qe,Qm,Qr,Ta
## 513 long An,Ar,Bp,Jv,Pb,Pr,Ps,Qa,Qe,Qm,Qr,Ta
## 514 very long An,Ar,Bp,Jv,Pb,Pr,Ps,Qa,Qe,Qm,Qr,Ta
## 515 long Vm,Eh,Vv
## 516 long Vm,Ps,Pa
## 517 long Bp,Ps,Pa
## 518 long Vm, Eh,Vv,Bp,Ps,Pa
## 519 long Vm,Eh,Vv
## 520 long Vm,Ps,Pa
## 521 long Bp,Ps,Pa
## 522 long Vm, Eh,Vv,Bp,Ps,Pa
## 523 long Vm,Eh,Vv
## 524 long Vm,Ps,Pa
## 525 long Bp,Ps,Pa
## 526 long Vm, Eh,Vv,Bp,Ps,Pa
## 527 long Vm,Eh,Vv
## 528 long Vm,Ps,Pa
## 529 long Bp,Ps,Pa
## 530 long Vm, Eh,Vv,Bp,Ps,Pa
## 531 long Vm,Eh,Vv
## 532 long Vm,Ps,Pa
## 533 long Bp,Ps,Pa
## 534 long Vm, Eh,Vv,Bp,Ps,Pa
## 535 long Vm,Eh,Vv
## 536 long Vm,Ps,Pa
## 537 long Bp,Ps,Pa
## 538 long Vm, Eh,Vv,Bp,Ps,Pa
## 539 medium Pa,Fs
## 540 long Pa,Fs
## 541 very long Pa,Fs
## 542 very long Pa,Fs
## 543 long Pa,Fs
## 544 long Pa,Fs
## 545 long Pa,Fs
## 546 long Pa,Fs
## 547 long Pa,Fs
## 548 long Pa,Fs
## 549 long Pa,Fs
## 550 long Pa,Fs
## 551 long Pa,Fs
## 552 long Pa,Fs
## 553 long Pa,Fs
## 554 long Pa,Fs
## 555 long Pa,Fs
## 556 long Pa,Fs
## 557 long Pa,Fs
## 558 long Pa,Fs
## 559 long Pa,Fs
## 560 long Pa,Fs
## 561 very long Pa,Fs
## 562 very long Pa,Fs
## 563 very long Pa,Fs
## 564 very long Pa,Fs
## 565 very long Pa,Fs
## 566 very long Pa,Fs
## 567 very long Pa,Fs
## 568 very long Pa,Fs
## 569 very long Pa,Fs
## 570 very long Pa,Fs
## 571 very long Pa,Fs
## 572 very long Pa,Fs
## 573 very long Pa,Fs
## 574 very long Pa,Fs
## 575 very long Pa,Fs
## 576 very long Pa,Fs
## 577 very long Pa,Fs
## 578 very long Pa,Fs
## 579 long Ps,As,Vs
## 580 long Px,Ev,As
## 581 short Po, Al,An
## 582 medium Po, Al,An
## 583 medium Po, Al,An
## 584 medium Po, Al,An
## 585 medium Po, Al,An
## 586 long Bp,Ps
## 587 long Bp,Qr
## 588 long Fs,Qr
## 589 long Tc,Fs
## 590 long Tc,Ps
## 591 long Bp,Fs,Ps
## 592 long Fs,Qr,Ps
## 593 long Tc,Bp,Fs
## 594 long Tc,Bp,Qr
## 595 long Tc,Qr,Ps
## 596 long Bp,Fs,Qr,Ps
## 597 long Tc,Bp,Fs,Ps
## 598 long Tc,Bp,Fs,Qr
## 599 long Tc,Bp,Qr,Ps
## 600 long Tc,Fs,Qr,Ps
## 601 long Pm,Ch
## 602 short Mt,Pg
## 603 short Mt,Pg
## 604 short Le,Pg
## 605 short Le,Pg
## 606 short Mt,Sg
## 607 short Mt,Sg
## 608 short At,Mg
## 609 short At,Mg
## 610 short Sg,Pg,Mt,Cc
## 611 short Sg,Pg,Mt,Cc
## 612 short pg,Mg,Cc,At
## 613 short pg,Mg,Cc,At
## 614 short Mg,Ag,sG,At
## 615 short Mg,Ag,sG,At
## 616 short At,Mt,Mg,Sg
## 617 short At,Mt,Mg,Sg
## 618 short Cc,Mt,Sg,Ag,At,Pg
## 619 short Cc,Mt,Sg,Ag,At,Pg
## 620 short At,Mt,Ag,Cc,Pg,Le
## 621 short At,Mt,Ag,Cc,Pg,Le
## 622 short Mg,Pg,Cc,Ag,Mt,Sg
## 623 short Mg,Pg,Cc,Ag,Mt,Sg
## 624 short At,Mt,Sg,Cc,Pg,Mg
## 625 short At,Mt,Sg,Cc,Pg,Mg
## 626 short Mt,Pg
## 627 short Mt,Pg
## 628 short Le,Pg
## 629 short Le,Pg
## 630 short Mt,Sg
## 631 short Mt,Sg
## 632 short At,Mg
## 633 short At,Mg
## 634 short Sg,Pg,Mt,Cc
## 635 short Sg,Pg,Mt,Cc
## 636 short pg,Mg,Cc,At
## 637 short pg,Mg,Cc,At
## 638 short Mg,Ag,sG,At
## 639 short Mg,Ag,sG,At
## 640 short At,Mt,Mg,Sg
## 641 short At,Mt,Mg,Sg
## 642 short Cc,Mt,Sg,Ag,At,Pg
## 643 short Cc,Mt,Sg,Ag,At,Pg
## 644 short At,Mt,Ag,Cc,Pg,Le
## 645 short At,Mt,Ag,Cc,Pg,Le
## 646 short Mg,Pg,Cc,Ag,Mt,Sg
## 647 short Mg,Pg,Cc,Ag,Mt,Sg
## 648 short At,Mt,Sg,Cc,Pg,Mg
## 649 short At,Mt,Sg,Cc,Pg,Mg
## 650 short Pr,Qg
## 651 short Pr,Qg
## 652 short Pr,Qg
## 653 short Pr,Qg
## 654 short Pr,Qg
## 655 short Pr,Qg
## 656 short Pr,Qg
## 657 short Pr,Qg
## 658 short Pr,Qg
## 659 short Pr,Qg
## 660 short Pr,Qg
## 661 short Pr,Qg
## 662 short Pr,Qg
## 663 short Pr,Qg
## 664 short Pr,Qg
## 665 short Pa,Fo
## 666 short Pa,Fo
## 667 short Pa,Fo
## 668 medium Pa,Fo
## 669 long Pa,Fo
## 670 very long Sp,Cm
## 671 very long Sp,Lp
## 672 very long Sp,An
## 673 very long Cm,Lp
## 674 very long Cm,An
## 675 very long Lp,An
## 676 very long Sp,Lp,An
## 677 very long Sp,cM,An
## 678 very long Sp,Cm.Lp
## 679 very long Cm,Lp,An
## 680 very long Sp,cm,Lp,An
## 681 medium Tam,Pk
## 682 medium Tam,Pk
## 683 medium Tam,Pk
## 684 long Tam,Pk
## 685 long Tam,Pk
## 686 long Tam,Pk
## 687 short Cf,Ss,Cm,Cs,Aa,Lf
## 688 short Cf,Ss,Cm,Cs,Aa,Lf
## 689 short Cf,Ss,Cm,Cs,Aa,Lf
## 690 short Cf,Ss,Cm,Cs,Aa,Lf
## 691 short Cf,Ss,Cm,Cs,Aa,Lf
## 692 short Cf,Ss,Cm,Cs,Aa,Lf
## 693 short Cf,Ss,Cm,Cs,Aa,Lf
## 694 short Cf,Ss,Cm,Cs,Aa,Lf
## 695 short Cf,Ss,Cm,Cs,Aa,Lf
## 696 short Cf,Ss,Cm,Cs,Aa,Lf
## 697 short Cf,Ss,Cm,Cs,Aa,Lf
## 698 short Cf,Ss,Cm,Cs,Aa,Lf
## 699 medium Cf,Ss,Cm,Cs,Aa,Lf
## 700 medium Cf,Ss,Cm,Cs,Aa,Lf
## 701 medium Cf,Ss,Cm,Cs,Aa,Lf
## 702 medium Cf,Ss,Cm,Cs,Aa,Lf
## 703 medium Cf,Ss,Cm,Cs,Aa,Lf
## 704 medium Cf,Ss,Cm,Cs,Aa,Lf
## 705 medium Cf,Ss,Cm,Cs,Aa,Lf
## 706 medium Cf,Ss,Cm,Cs,Aa,Lf
## 707 medium Cf,Ss,Cm,Cs,Aa,Lf
## 708 medium Cf,Ss,Cm,Cs,Aa,Lf
## 709 medium Cf,Ss,Cm,Cs,Aa,Lf
## 710 medium Cf,Ss,Cm,Cs,Aa,Lf
## 711 long Cf,Ss,Cm,Cs,Aa,Lf
## 712 long Cf,Ss,Cm,Cs,Aa,Lf
## 713 long Cf,Ss,Cm,Cs,Aa,Lf
## 714 short Pa,Bal
## 715 short Pa,Bal
## 716 medium Pa,Bal
## 717 medium Ms,Vm
## 718 medium Ms,Lp
## 719 medium Vm,Lp
## 720 medium Ms,Ps
## 721 medium Ms,Bn
## 722 medium Vm,Ps
## 723 medium Vm,Bn
## 724 medium Ps,Lp
## 725 medium Bn,Lp
## 726 medium Bn,Ps
## 727 medium Tp,Sv
## 728 medium Tp,As
## 729 medium Sv,As
## 730 medium Cs,Tp
## 731 medium Cs,As
## 732 medium Tp,Dc
## 733 medium Cs,Cv
## 734 medium Dc,As
## 735 medium Sv,Dc
## 736 medium Cs,Dc
## 737 short Ss, Ba
## 738 short Ss, Mb
## 739 short Ss,Mu
## 740 short Cf,Ba
## 741 short Cf,Mb
## 742 short Cf,Mb
## 743 short Cf,Mu
## 744 short Cc,Mb
## 745 short Cc,Mu
## 746 short Ss, Ba
## 747 short Ss, Mb
## 748 short Ss,Mu
## 749 short Cf,Ba
## 750 short Cf,Mb
## 751 short Cf,Mb
## 752 short Cf,Mu
## 753 short Cc,Mb
## 754 short Cc,Mu
## 755 medium Ss, Ba
## 756 medium Ss, Mb
## 757 medium Ss,Mu
## 758 medium Cf,Ba
## 759 medium Cf,Mb
## 760 medium Cf,Mb
## 761 medium Cf,Mu
## 762 medium Cc,Mb
## 763 medium Cc,Mu
## 764 long Pa,Pl,Qi
## 765 long Pa,Pl,Qi
## 766 long Pa,Pl,Cs
## 767 long Pa,Pl,Cs
## 768 short Lk,Jm
## 769 short Lk,Jm
## 770 medium Lk,Jm
## 771 long Lk,Jm
## 772 short Lk,Jm
## 773 short Lk,Jm
## 774 medium Lk,Jm
## 775 long Lk,Jm
## 776 long Lk,Jm
## 777 long Lk,Jm
## 778 short Ac,Bp
## 779 short Ac,Hm
## 780 short Ac,Lm
## 781 short Ac,Se
## 782 short Bp,Hm
## 783 short Bp,Lm
## 784 short Bp,Se
## 785 short Hm,Lm
## 786 short Hm,Se
## 787 short Lm,Se
## 788 short Ac,Bp,Hm
## 789 short Ac,Bp,Lm
## 790 short Ac,Be,Se
## 791 short Ac,Hm,Lm
## 792 short Ac,Hm,Se
## 793 short BP,Hm,Lm
## 794 short Bp,Hm,Se
## 795 short Hm,Lm,Se
## 796 short Ac,Lm,Se
## 797 short Bp,Lm,Se
## 798 short Ac,Bp,Hm,Lm
## 799 short Ac,Bp,Hm,Se
## 800 short Ac,Bp,Lm,Se
## 801 short Ac,Hm,Lm,Se
## 802 short Bp,Hm,Lm,Se
## 803 short Ac,Bp,Hm,Lm,Se
## 804 short Lc,Sb
## 805 short Lc,Sb
## 806 long Lc,Sb
## 807 long Lc,Sb
## 808 short Mr,Sb
## 809 short Mr,Sb
## 810 long Mr,Sb
## 811 long Mr,Sb
## 812 short Lc,Mr
## 813 short Lc,Mr
## 814 long Lc,Mr
## 815 long Lc,Mr
## 816 very long Ss, Cl
## 817 very long Ss, Eu
## 818 very long Ss,Am
## 819 very long Cl,Eu
## 820 very long Cl,Am
## 821 very long Eu,Am
## 822 very long Sc,Cl,Eu
## 823 very long Sc,Cl,Am
## 824 very long Sc,Eu,Am
## 825 very long Cl,Eu,Am
## 826 very long Sp,Cl, Eu,Am
## 827 very long Sm,CL
## 828 very long Ss,Eu
## 829 very long Ss,Am
## 830 very long Cl,Eu
## 831 very long Cl,Am
## 832 very long Eu,Am
## 833 very long Ss,Cl,Eu
## 834 very long Ss,Cl,Am
## 835 very long ss,Cl,Am
## 836 very long Cl,Eu,Am
## 837 very long Ss,Cl,Eu,Am
## 838 very long Ss, Cl
## 839 very long Ss, Eu
## 840 very long Ss,Am
## 841 very long Cl,Eu
## 842 very long Cl,Am
## 843 very long Eu,Am
## 844 very long Sc,Cl,Eu
## 845 very long Sc,Cl,Am
## 846 very long Sc,Eu,Am
## 847 very long Cl,Eu,Am
## 848 very long Sp,Cl, Eu,Am
## 849 very long Ss, Cl
## 850 very long Ss, Eu
## 851 very long Ss,Am
## 852 very long Cl,Eu
## 853 very long Cl,Am
## 854 very long Eu,Am
## 855 very long Sc,Cl,Eu
## 856 very long Sc,Cl,Am
## 857 very long Sc,Eu,Am
## 858 very long Cl,Eu,Am
## 859 very long Sp,Cl, Eu,Am
## 860 short Sk,Ag
## 861 medium Sk,Ag
## 862 medium Sk,Ag
## 863 long Sk,Ag
## 864 long Sk,Ag
## 865 very long Sk,Ag
## 866 very long Sk,Ag
## 867 very long Sk,Ag
## Litter_type Drying_method Oven_temp_C Litter_size
## 1 Deciduous air dried N/A Whole leaf
## 2 Deciduous air dried N/A Whole leaf
## 3 Deciduous air dried N/A Whole leaf
## 4 Deciduous air dried N/A Whole leaf
## 5 Deciduous air dried N/A Whole leaf
## 6 Deciduous air dried N/A Whole leaf
## 7 Deciduous air dried N/A Whole leaf
## 8 Deciduous air dried N/A Whole leaf
## 9 Deciduous air dried N/A Whole leaf
## 10 Deciduous air dried N/A Whole leaf
## 11 Deciduous air dried N/A Whole leaf
## 12 Deciduous air dried N/A Whole leaf
## 13 Deciduous air dried N/A Whole leaf
## 14 Deciduous air dried N/A Whole leaf
## 15 Deciduous air dried N/A Whole leaf
## 16 Deciduous air dried N/A Whole leaf
## 17 Deciduous air dried N/A Whole leaf
## 18 Deciduous air dried N/A Whole leaf
## 19 Deciduous air dried N/A Whole leaf
## 20 Deciduous air dried N/A Whole leaf
## 21 Deciduous air dried N/A Whole leaf
## 22 Deciduous air dried N/A Whole leaf
## 23 Deciduous air dried N/A Whole leaf
## 24 Deciduous air dried N/A Whole leaf
## 25 Deciduous oven dried 60 Whole leaf
## 26 Deciduous oven dried 60 Whole leaf
## 27 Deciduous oven dried 60 Whole leaf
## 28 Deciduous oven dried 60 Whole leaf
## 29 Deciduous oven dried 60 Whole leaf
## 30 Deciduous oven dried 60 Whole leaf
## 31 Deciduous oven dried 60 Whole leaf
## 32 Deciduous oven dried 60 Whole leaf
## 33 Deciduous oven dried 60 Whole leaf
## 34 Deciduous oven dried 60 Whole leaf
## 35 Deciduous oven dried 60 Whole leaf
## 36 Deciduous oven dried 60 Whole leaf
## 37 Deciduous oven dried 60 Whole leaf
## 38 Deciduous oven dried 60 Whole leaf
## 39 Deciduous oven dried 60 Whole leaf
## 40 Deciduous oven dried 60 Whole leaf
## 41 Deciduous oven dried 60 Whole leaf
## 42 Deciduous oven dried 60 Whole leaf
## 43 Deciduous air dried N/A Whole leaf
## 44 Deciduous air dried N/A Whole leaf
## 45 Deciduous air dried N/A Whole leaf
## 46 Deciduous air dried N/A Whole leaf
## 47 Deciduous air dried N/A Whole leaf
## 48 Deciduous air dried N/A Whole leaf
## 49 Deciduous air dried N/A Whole leaf
## 50 Deciduous air dried N/A Whole leaf
## 51 Deciduous air dried N/A Whole leaf
## 52 Deciduous air dried N/A Whole leaf
## 53 Deciduous air dried N/A Whole leaf
## 54 Deciduous air dried N/A Whole leaf
## 55 Deciduous air dried N/A Whole leaf
## 56 Deciduous air dried N/A Whole leaf
## 57 Deciduous air dried N/A Whole leaf
## 58 Deciduous air dried N/A Whole leaf
## 59 Deciduous Air dried N/A Whole leaf
## 60 Deciduous Air dried N/A Whole leaf
## 61 Deciduous Air dried N/A Whole leaf
## 62 Deciduous Air dried N/A Whole leaf
## 63 Deciduous Air dried N/A Whole leaf
## 64 Deciduous Air dried N/A Whole leaf
## 65 Deciduous Air dried N/A Whole leaf
## 66 Deciduous Air dried N/A Whole leaf
## 67 Deciduous Air dried N/A Whole leaf
## 68 Deciduous Air dried N/A Whole leaf
## 69 Deciduous Air dried N/A Whole leaf
## 70 Deciduous Air dried N/A Whole leaf
## 71 Deciduous Air dried N/A Whole leaf
## 72 Deciduous Air dried N/A Whole leaf
## 73 Deciduous Air dried N/A Whole leaf
## 74 Deciduous Air dried N/A Whole leaf
## 75 Deciduous Air dried N/A Whole leaf
## 76 Deciduous Air dried N/A Whole leaf
## 77 Deciduous Air dried N/A Whole leaf
## 78 Deciduous Air dried N/A Whole leaf
## 79 Deciduous Air dried N/A Whole leaf
## 80 Deciduous Air dried N/A Whole leaf
## 81 Deciduous Air dried N/A Whole leaf
## 82 Deciduous Air dried N/A Whole leaf
## 83 Deciduous Air dried N/A Whole leaf
## 84 Deciduous Air dried N/A Whole leaf
## 85 Deciduous Air dried N/A Whole leaf
## 86 Deciduous Air dried N/A Whole leaf
## 87 Deciduous Air dried N/A Whole leaf
## 88 Deciduous Air dried N/A Whole leaf
## 89 Deciduous oven dried 65 Whole leaf
## 90 Deciduous oven dried 65 Whole leaf
## 91 Deciduous oven dried 65 Whole leaf
## 92 Deciduous Air dried N/A Whole leaf
## 93 Deciduous Air dried N/A Whole leaf
## 94 Deciduous Air dried N/A Whole leaf
## 95 Deciduous Air dried N/A Whole leaf
## 96 Deciduous Air dried N/A Whole leaf
## 97 Deciduous Air dried N/A Whole leaf
## 98 shrub and Deciduous Air dried N/A Whole leaf
## 99 shrub and Deciduous Air dried N/A Whole leaf
## 100 shrub and Deciduous Air dried N/A Whole leaf
## 101 shrub and Deciduous Air dried N/A Whole leaf
## 102 Deciduous and herbaceous Air dried N/A Whole leaf
## 103 Deciduous and herbaceous Air dried N/A Whole leaf
## 104 Deciduous and herbaceous Air dried N/A Whole leaf
## 105 Deciduous and herbaceous Air dried N/A Whole leaf
## 106 Deciduous herbecious and shrub Air dried N/A Whole leaf
## 107 Deciduous herbecious and shrub Air dried N/A Whole leaf
## 108 Deciduous herbecious and shrub Air dried N/A Whole leaf
## 109 Deciduous herbecious and shrub Air dried N/A Whole leaf
## 110 shrub and Deciduous Air dried N/A Whole leaf
## 111 shrub and Deciduous Air dried N/A Whole leaf
## 112 shrub and Deciduous Air dried N/A Whole leaf
## 113 shrub and Deciduous Air dried N/A Whole leaf
## 114 Deciduous and herbaceous Air dried N/A Whole leaf
## 115 Deciduous and herbaceous Air dried N/A Whole leaf
## 116 Deciduous and herbaceous Air dried N/A Whole leaf
## 117 Deciduous and herbaceous Air dried N/A Whole leaf
## 118 Deciduous herbecious and shrub Air dried N/A Whole leaf
## 119 Deciduous herbecious and shrub Air dried N/A Whole leaf
## 120 Deciduous herbecious and shrub Air dried N/A Whole leaf
## 121 Deciduous herbecious and shrub Air dried N/A Whole leaf
## 122 herbaceous air diried N/A Whole leaf
## 123 herbaceous air diried N/A Whole leaf
## 124 herbaceous air diried N/A Whole leaf
## 125 herbaceous air diried N/A Whole leaf
## 126 herbaceous air diried N/A Whole leaf
## 127 herbaceous air diried N/A Whole leaf
## 128 herbaceous air diried N/A Whole leaf
## 129 herbaceous air diried N/A Whole leaf
## 130 herbaceous air diried N/A Whole leaf
## 131 herbaceous air diried N/A Whole leaf
## 132 herbaceous air diried N/A Whole leaf
## 133 herbaceous air diried N/A Whole leaf
## 134 herbaceous air diried N/A Whole leaf
## 135 herbaceous air diried N/A Whole leaf
## 136 herbaceous air diried N/A Whole leaf
## 137 herbaceous Air dried N/A Whole leaf
## 138 herbaceous Air dried N/A Whole leaf
## 139 herbaceous Air dried N/A Whole leaf
## 140 shrubs herbs and evergreen Air dried N/A Whole leaf
## 141 shrubs herbs and evergreen Air dried N/A Whole leaf
## 142 shrubs herbs and evergreen Air dried N/A Whole leaf
## 143 shrubs herbs and evergreen Air dried N/A Whole leaf
## 144 shrubs herbs and evergreen Air dried N/A Whole leaf
## 145 shrubs herbs and evergreen Air dried N/A Whole leaf
## 146 shrubs herbs and evergreen Air dried N/A Whole leaf
## 147 shrubs herbs and evergreen Air dried N/A Whole leaf
## 148 shrubs herbs and evergreen Air dried N/A Whole leaf
## 149 shrubs herbs and evergreen Air dried N/A Whole leaf
## 150 shrubs herbs and evergreen Air dried N/A Whole leaf
## 151 shrubs herbs and evergreen Air dried N/A Whole leaf
## 152 perennial hemiparasitic plants Air dried N/A Whole leaf
## 153 perennial hemiparasitic plants Air dried N/A Whole leaf
## 154 perennial hemiparasitic plants Air dried N/A Whole leaf
## 155 perennial hemiparasitic plants Air dried N/A Whole leaf
## 156 perennial hemiparasitic plants Air dried N/A Whole leaf
## 157 perennial hemiparasitic plants Air dried N/A Whole leaf
## 158 perennial hemiparasitic plants Air dried N/A Whole leaf
## 159 perennial hemiparasitic plants Air dried N/A Whole leaf
## 160 perennial hemiparasitic plants Air dried N/A Whole leaf
## 161 perennial hemiparasitic plants Air dried N/A Whole leaf
## 162 perennial hemiparasitic plants Air dried N/A Whole leaf
## 163 perennial hemiparasitic plants Air dried N/A Whole leaf
## 164 perennial hemiparasitic plants Air dried N/A Whole leaf
## 165 perennial hemiparasitic plants Air dried N/A Whole leaf
## 166 perennial hemiparasitic plants Air dried N/A Whole leaf
## 167 perennial hemiparasitic plants Air dried N/A Whole leaf
## 168 perennial hemiparasitic plants Air dried N/A Whole leaf
## 169 perennial hemiparasitic plants Air dried N/A Whole leaf
## 170 perennial hemiparasitic plants Air dried N/A Whole leaf
## 171 perennial hemiparasitic plants Air dried N/A Whole leaf
## 172 perennial hemiparasitic plants Air dried N/A Whole leaf
## 173 perennial hemiparasitic plants Air dried N/A Whole leaf
## 174 perennial hemiparasitic plants Air dried N/A Whole leaf
## 175 perennial hemiparasitic plants Air dried N/A Whole leaf
## 176 evergreen Air dried N/A Whole leaf
## 177 evergreen Air dried N/A Whole leaf
## 178 evergreen Air dried N/A Whole leaf
## 179 evergreen Air dried N/A Whole leaf
## 180 evergreen Air dried N/A Whole leaf
## 181 evergreen Air dried N/A Whole leaf
## 182 evergreen Air dried N/A Whole leaf
## 183 evergreen Air dried N/A Whole leaf
## 184 Deciduous Air dried N/A Whole leaf
## 185 Deciduous Air dried N/A Whole leaf
## 186 Deciduous Air dried N/A Whole leaf
## 187 Deciduous Air dried N/A Whole leaf
## 188 Deciduous Air dried N/A Whole leaf
## 189 Deciduous Air dried N/A Whole leaf
## 190 Deciduous Air dried N/A Whole leaf
## 191 Deciduous Air dried N/A Whole leaf
## 192 Deciduous Air dried N/A Whole leaf
## 193 Deciduous Air dried N/A Whole leaf
## 194 Deciduous Air died N/A Whole leaf
## 195 Deciduous Air died N/A Whole leaf
## 196 Deciduous Air died N/A Whole leaf
## 197 Deciduous Air died N/A Whole leaf
## 198 Deciduous Air died N/A Whole leaf
## 199 Deciduous Air died N/A Whole leaf
## 200 Deciduous Air died N/A Whole leaf
## 201 Deciduous Air died N/A Whole leaf
## 202 Deciduous Air died N/A Whole leaf
## 203 Deciduous Air died N/A Whole leaf
## 204 Deciduous Air died N/A Whole leaf
## 205 Deciduous Air died N/A Whole leaf
## 206 Deciduous Air died N/A Whole leaf
## 207 Deciduous Air died N/A Whole leaf
## 208 Deciduous Air died N/A Whole leaf
## 209 Deciduous Air died N/A Whole leaf
## 210 Deciduous Air died N/A Whole leaf
## 211 Deciduous Air died N/A Whole leaf
## 212 Deciduous Air died N/A Whole leaf
## 213 Deciduous Air died N/A Whole leaf
## 214 Deciduous Air died N/A Whole leaf
## 215 Deciduous Air died N/A Whole leaf
## 216 shrub and Deciduous Air dried N/A Whole leaf
## 217 shrub and Deciduous Air dried N/A Whole leaf
## 218 shrub and Deciduous Air dried N/A Whole leaf
## 219 shrub and Deciduous Air dried N/A Whole leaf
## 220 shrub and Deciduous Air dried N/A Whole leaf
## 221 shrub and Deciduous Air dried N/A Whole leaf
## 222 Deciduous Air dried N/A Whole leaf
## 223 Deciduous Air dried N/A Whole leaf
## 224 Deciduous Air dried N/A Whole leaf
## 225 Deciduous Air dried N/A Whole leaf
## 226 Deciduous Air dried N/A Whole leaf
## 227 Deciduous Air dried N/A Whole leaf
## 228 Deciduous Air dried N/A Whole leaf
## 229 Deciduous Air dried N/A Whole leaf
## 230 Deciduous Air dried N/A Whole leaf
## 231 Deciduous Air dried N/A Whole leaf
## 232 Deciduous Air dried N/A Whole leaf
## 233 Deciduous Air dried N/A Whole leaf
## 234 Deciduous Air dried N/A Whole leaf
## 235 Deciduous Air dried N/A Whole leaf
## 236 Deciduous Air dried N/A Whole leaf
## 237 Deciduous Air dried N/A Whole leaf
## 238 Deciduous Air dried N/A Whole leaf
## 239 Deciduous Air dried N/A Whole leaf
## 240 Deciduous Air dried N/A Whole leaf
## 241 Deciduous Air dried N/A Whole leaf
## 242 Deciduous Air dried N/A Whole leaf
## 243 Deciduous Air dried N/A Whole leaf
## 244 Deciduous Air dried N/A Whole leaf
## 245 Deciduous Air dried N/A Whole leaf
## 246 Deciduous Air dried N/A Whole leaf
## 247 Deciduous Air dried N/A Whole leaf
## 248 Deciduous Air dried N/A Whole leaf
## 249 Deciduous Air dried N/A Whole leaf
## 250 Deciduous Air dried N/A Whole leaf
## 251 Deciduous Air dried N/A Whole leaf
## 252 Deciduous Air dried N/A Whole leaf
## 253 Deciduous Air dried N/A Whole leaf
## 254 Deciduous Air dried N/A Whole leaf
## 255 Deciduous Air dried N/A Whole leaf
## 256 Deciduous Air dried N/A Whole leaf
## 257 Deciduous Air dried N/A Whole leaf
## 258 Deciduous Air dried N/A Whole leaf
## 259 Deciduous Air dried N/A Whole leaf
## 260 Deciduous Air dried N/A Whole leaf
## 261 Deciduous Air dried N/A Whole leaf
## 262 Deciduous Air dried N/A Whole leaf
## 263 Deciduous Air dried N/A Whole leaf
## 264 Deciduous oven dried 80 Whole leaf
## 265 Deciduous oven dried 80 Whole leaf
## 266 Deciduous oven dried 80 Whole leaf
## 267 Deciduous oven dried 80 Whole leaf
## 268 Deciduous oven dried 80 Whole leaf
## 269 Deciduous oven dried 80 Whole leaf
## 270 Deciduous oven dried 80 Whole leaf
## 271 Deciduous oven dried 80 Whole leaf
## 272 Deciduous oven dried 80 Whole leaf
## 273 Deciduous oven dried 80 Whole leaf
## 274 Deciduous oven dried 80 Whole leaf
## 275 Deciduous oven dried 80 Whole leaf
## 276 Deciduous oven dried 80 Whole leaf
## 277 Deciduous oven dried 80 Whole leaf
## 278 Deciduous oven dried 80 Whole leaf
## 279 Deciduous oven dried 80 Whole leaf
## 280 Deciduous oven dried 80 Whole leaf
## 281 Deciduous oven dried 80 Whole leaf
## 282 Deciduous oven dried 80 Whole leaf
## 283 Deciduous oven dried 80 Whole leaf
## 284 Deciduous oven dried 80 Whole leaf
## 285 Deciduous oven dried 80 Whole leaf
## 286 Deciduous oven dried 80 Whole leaf
## 287 Deciduous oven dried 80 Whole leaf
## 288 Deciduous oven dried 80 Whole leaf
## 289 Deciduous oven dried 80 Whole leaf
## 290 Deciduous oven dried 80 Whole leaf
## 291 Deciduous oven dried 80 Whole leaf
## 292 Deciduous oven dried 80 Whole leaf
## 293 Deciduous oven dried 80 Whole leaf
## 294 Deciduous oven dried 80 Whole leaf
## 295 Deciduous oven dried 80 Whole leaf
## 296 Deciduous oven dried 80 Whole leaf
## 297 Deciduous oven dried 80 Whole leaf
## 298 Deciduous oven dried 80 Whole leaf
## 299 Deciduous oven dried 80 Whole leaf
## 300 evergreen Air dried N/A Whole leaf
## 301 evergreen Air dried N/A Whole leaf
## 302 evergreen Air dried N/A Whole leaf
## 303 evergreen Air dried N/A Whole leaf
## 304 evergreen Air dried N/A Whole leaf
## 305 evergreen Air dried N/A Whole leaf
## 306 evergreen Air dried N/A Whole leaf
## 307 shrub and legume Air dried N/A Whole leaf
## 308 shrub and grass Air dried N/A Whole leaf
## 309 grass and legume Air dried N/A Whole leaf
## 310 shrub and legume Air dried N/A Whole leaf
## 311 shrub and grass Air dried N/A Whole leaf
## 312 grass and legume Air dried N/A Whole leaf
## 313 Deciduous Air dried N/A Whole leaf
## 314 Deciduous Air dried N/A Whole leaf
## 315 Deciduous Air dried N/A Whole leaf
## 316 Deciduous Air dried N/A Whole leaf
## 317 Deciduous Air dried N/A Whole leaf
## 318 Deciduous Air dried N/A Whole leaf
## 319 Deciduous Air dried N/A Whole leaf
## 320 Deciduous Air dried N/A Whole leaf
## 321 Deciduous Air dried N/A Whole leaf
## 322 Deciduous Air dried N/A Whole leaf
## 323 Deciduous Air dried N/A Whole leaf
## 324 Deciduous Air dried N/A Whole leaf
## 325 Deciduous Air dried N/A Whole leaf
## 326 Deciduous Air dried N/A Whole leaf
## 327 Deciduous Air dried N/A Whole leaf
## 328 Deciduous Air dried N/A Whole leaf
## 329 Deciduous Air dried N/A Whole leaf
## 330 Deciduous Air dried N/A Whole leaf
## 331 Deciduous Air dried N/A Whole leaf
## 332 Deciduous Air dried N/A Whole leaf
## 333 Deciduous Air dried N/A Whole leaf
## 334 Deciduous Air dried N/A Whole leaf
## 335 Deciduous Air dried N/A Whole leaf
## 336 Deciduous Air dried N/A Whole leaf
## 337 Deciduous Air dried N/A Whole leaf
## 338 Deciduous Air dried N/A Whole leaf
## 339 Deciduous Air dried N/A Whole leaf
## 340 Deciduous Air dried N/A Whole leaf
## 341 Deciduous Air dried N/A Whole leaf
## 342 Deciduous Air dried N/A Whole leaf
## 343 evergreen Air dried N/A Whole leaf
## 344 evergreen Air dried N/A Whole leaf
## 345 evergreen Air dried N/A Whole leaf
## 346 evergreen Air dried N/A Whole leaf
## 347 shrub and grass Air dried N/A 2.5cm
## 348 shrub and grass Air dried N/A 2.5cm
## 349 Deciduous Air dried N/A Whole leaf
## 350 Deciduous Air dried N/A Whole leaf
## 351 Deciduous Air dried N/A Whole leaf
## 352 Deciduous Air dried N/A Whole leaf
## 353 Deciduous Air dried N/A Whole leaf
## 354 Deciduous Air dried N/A Whole leaf
## 355 Deciduous Air dried N/A Whole leaf
## 356 Deciduous Air dried N/A Whole leaf
## 357 Deciduous Air dried N/A Whole leaf
## 358 Deciduous Air dried N/A Whole leaf
## 359 Deciduous Air dried N/A Whole leaf
## 360 Deciduous Air dried N/A Whole leaf
## 361 shrub and grass Air dried N/A Whole leaf
## 362 shrub and forb Air dried N/A Whole leaf
## 363 grass and Forb Air dried N/A Whole leaf
## 364 grass, shrub and Forb Air dried N/A Whole leaf
## 365 shrub and grass Air dried N/A Whole leaf
## 366 shrub and forb Air dried N/A Whole leaf
## 367 grass and Forb Air dried N/A Whole leaf
## 368 grass, shrub and Forb Air dried N/A Whole leaf
## 369 shrub and grass Air dried N/A Whole leaf
## 370 shrub and forb Air dried N/A Whole leaf
## 371 grass and Forb Air dried N/A Whole leaf
## 372 grass, shrub and Forb Air dried N/A Whole leaf
## 373 Deciduous Air dried N/A Whole leaf
## 374 Deciduous Air dried N/A Whole leaf
## 375 Deciduous Air dried N/A Whole leaf
## 376 Deciduous Air dried N/A Whole leaf
## 377 Deciduous Air dried N/A Whole leaf
## 378 Deciduous Air dried N/A Whole leaf
## 379 Deciduous Air dried N/A Whole leaf
## 380 Deciduous Air dried N/A Whole leaf
## 381 evergreen Air dried N/A Whole leaf
## 382 evergreen Air dried N/A Whole leaf
## 383 evergreen Air dried N/A Whole leaf
## 384 evergreen Air dried N/A Whole leaf
## 385 evergreen Air dried N/A Whole leaf
## 386 evergreen Air dried N/A Whole leaf
## 387 evergreen Air dried N/A Whole leaf
## 388 Deciduous and evergreen Air dried N/A Whole leaf
## 389 Deciduous and evergreen Air dried N/A Whole leaf
## 390 Deciduous and evergreen Air dried N/A Whole leaf
## 391 Deciduous and evergreen Air dried N/A Whole leaf
## 392 Deciduous and evergreen Air dried N/A Whole leaf
## 393 Deciduous and evergreen Air dried N/A Whole leaf
## 394 Deciduous and evergreen Air dried N/A Whole leaf
## 395 Deciduous and evergreen Air dried N/A Whole leaf
## 396 evergreen Air dried N/A Whole leaf
## 397 evergreen Air dried N/A Whole leaf
## 398 evergreen Air dried N/A Whole leaf
## 399 evergreen Air dried N/A Whole leaf
## 400 evergreen Air dried N/A Whole leaf
## 401 evergreen Air dried N/A Whole leaf
## 402 evergreen Air dried N/A Whole leaf
## 403 evergreen Air dried N/A Whole leaf
## 404 evergreen Air dried N/A Whole leaf
## 405 evergreen Air dried N/A Whole leaf
## 406 evergreen Air dried N/A Whole leaf
## 407 Deciduous and evergreen Air dried N/A Whole leaf
## 408 Deciduous and evergreen Air dried N/A Whole leaf
## 409 Deciduous and evergreen Air dried N/A Whole leaf
## 410 Deciduous and evergreen Air dried N/A Whole leaf
## 411 Deciduous and evergreen Air dried N/A Whole leaf
## 412 Deciduous and evergreen Air dried N/A Whole leaf
## 413 Deciduous and evergreen Air dried N/A Whole leaf
## 414 Deciduous and evergreen Air dried N/A Whole leaf
## 415 Deciduous Air dried N/A Whole leaf
## 416 Deciduous Air dried N/A Whole leaf
## 417 Deciduous Air dried N/A Whole leaf
## 418 Deciduous Air dried N/A Whole leaf
## 419 Deciduous and evergreen Air dried N/A Whole leaf
## 420 Deciduous and evergreen Air dried N/A Whole leaf
## 421 Deciduous and evergreen Air dried N/A Whole leaf
## 422 Deciduous and evergreen Air dried N/A Whole leaf
## 423 Deciduous and evergreen Air dried N/A Whole leaf
## 424 Deciduous and evergreen Air dried N/A Whole leaf
## 425 Deciduous and evergreen Air dried N/A Whole leaf
## 426 Deciduous and evergreen Air dried N/A Whole leaf
## 427 Deciduous and evergreen Air dried N/A Whole leaf
## 428 Deciduous and evergreen Air dried N/A Whole leaf
## 429 Deciduous and evergreen Air dried N/A Whole leaf
## 430 Deciduous and evergreen Air dried N/A Whole leaf
## 431 Deciduous and evergreen Air dried N/A Whole leaf
## 432 Deciduous and evergreen Air dried N/A Whole leaf
## 433 Deciduous Air dried N/A Whole leaf
## 434 Deciduous Air dried N/A Whole leaf
## 435 Deciduous Air dried N/A Whole leaf
## 436 Deciduous Air dried N/A Whole leaf
## 437 Deciduous Air dried N/A Whole leaf
## 438 Deciduous Air dried N/A Whole leaf
## 439 Deciduous Air dried N/A Whole leaf
## 440 Deciduous Air dried N/A Whole leaf
## 441 Deciduous Air dried N/A Whole leaf
## 442 Deciduous Air dried N/A Whole leaf
## 443 Deciduous Air dried N/A Whole leaf
## 444 Deciduous Air dried N/A Whole leaf
## 445 Deciduous Air dried N/A Whole leaf
## 446 Deciduous Air dried N/A Whole leaf
## 447 Deciduous Air dried N/A Whole leaf
## 448 Deciduous Air dried N/A Whole leaf
## 449 Deciduous Air dried N/A Whole leaf
## 450 Deciduous Air dried N/A Whole leaf
## 451 Deciduous Air dried N/A Whole leaf
## 452 Deciduous Air dried N/A Whole leaf
## 453 Deciduous Air dried N/A Whole leaf
## 454 Deciduous Air dried N/A Whole leaf
## 455 Deciduous Air dried N/A Whole leaf
## 456 Deciduous Air dried N/A Whole leaf
## 457 Deciduous Air dried N/A Whole leaf
## 458 Deciduous Air dried N/A Whole leaf
## 459 Deciduous Air dried N/A Whole leaf
## 460 Deciduous Air dried N/A Whole leaf
## 461 Deciduous Air dried N/A Whole leaf
## 462 Deciduous Air dried N/A Whole leaf
## 463 Deciduous Air dried N/A Whole leaf
## 464 Deciduous Air dried N/A Whole leaf
## 465 Deciduous Air dried N/A Whole leaf
## 466 Deciduous Air dried N/A Whole leaf
## 467 Deciduous Air dried N/A Whole leaf
## 468 Deciduous Air dried N/A Whole leaf
## 469 Deciduous Air dried N/A Whole leaf
## 470 Deciduous Air dried N/A Whole leaf
## 471 Deciduous Air dried N/A Whole leaf
## 472 Deciduous Air dried N/A Whole leaf
## 473 Deciduous Air dried N/A Whole leaf
## 474 Deciduous Air dried N/A Whole leaf
## 475 Deciduous Air dried N/A Whole leaf
## 476 Deciduous Air dried N/A Whole leaf
## 477 Deciduous Air dried N/A Whole leaf
## 478 Deciduous Air dried N/A Whole leaf
## 479 Deciduous and evergreen Air dried N/A Whole leaf
## 480 Deciduous and evergreen Air dried N/A Whole leaf
## 481 Deciduous and evergreen Air dried N/A Whole leaf
## 482 Deciduous and evergreen Air dried N/A Whole leaf
## 483 Deciduous and evergreen Air dried N/A Whole leaf
## 484 Deciduous and evergreen Air dried N/A Whole leaf
## 485 Deciduous and evergreen Air dried N/A Whole leaf
## 486 Deciduous and evergreen Air dried N/A Whole leaf
## 487 Deciduous Air dried N/A Whole leaf
## 488 Deciduous Air dried N/A Whole leaf
## 489 Deciduous Air dried N/A Whole leaf
## 490 Deciduous Air dried N/A Whole leaf
## 491 Deciduous and evergreen Air dried N/A Whole leaf
## 492 Deciduous and evergreen Air dried N/A Whole leaf
## 493 Deciduous and evergreen Air dried N/A Whole leaf
## 494 Deciduous and evergreen Air dried N/A Whole leaf
## 495 Deciduous and evergreen Air dried N/A Whole leaf
## 496 Deciduous and evergreen Air dried N/A Whole leaf
## 497 Deciduous and evergreen Air dried N/A Whole leaf
## 498 Deciduous and evergreen Air dried N/A Whole leaf
## 499 Deciduous and evergreen Air dried N/A Whole leaf
## 500 Deciduous and evergreen Air dried N/A Whole leaf
## 501 Deciduous and evergreen Air dried N/A Whole leaf
## 502 Deciduous and evergreen Air dried N/A Whole leaf
## 503 Deciduous and evergreen Air dried N/A Whole leaf
## 504 Deciduous and evergreen Air dried N/A Whole leaf
## 505 Deciduous and evergreen Air dried N/A Whole leaf
## 506 Deciduous and evergreen Air dried N/A Whole leaf
## 507 Deciduous and evergreen Air dried N/A Whole leaf
## 508 Deciduous and evergreen Air dried N/A Whole leaf
## 509 Deciduous and evergreen Air dried N/A Whole leaf
## 510 Deciduous and evergreen Air dried N/A Whole leaf
## 511 Deciduous and evergreen Air dried N/A Whole leaf
## 512 Deciduous and evergreen Air dried N/A Whole leaf
## 513 Deciduous and evergreen Air dried N/A Whole leaf
## 514 Deciduous and evergreen Air dried N/A Whole leaf
## 515 shrubs Air dried N/A Whole leaf
## 516 shrub and evergreen Air dried N/A Whole leaf
## 517 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 518 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 519 shrubs Air dried N/A Whole leaf
## 520 shrub and evergreen Air dried N/A Whole leaf
## 521 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 522 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 523 shrubs Air dried N/A Whole leaf
## 524 shrub and evergreen Air dried N/A Whole leaf
## 525 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 526 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 527 shrubs Air dried N/A Whole leaf
## 528 shrub and evergreen Air dried N/A Whole leaf
## 529 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 530 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 531 shrubs Air dried N/A Whole leaf
## 532 shrub and Deciduous Air dried N/A Whole leaf
## 533 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 534 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 535 shrubs Air dried N/A Whole leaf
## 536 shrub and evergreen Air dried N/A Whole leaf
## 537 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 538 shrub, evergreen and Deciduous Air dried N/A Whole leaf
## 539 Deciduous and evergreen Oven dried 50 Whole leaf
## 540 Deciduous and evergreen Oven dried 50 Whole leaf
## 541 Deciduous and evergreen Oven dried 50 Whole leaf
## 542 Deciduous and evergreen Oven dried 50 Whole leaf
## 543 Deciduous and evergreen Oven dried 50 Whole leaf
## 544 Deciduous and evergreen Oven dried 50 Whole leaf
## 545 Deciduous and evergreen Oven dried 50 Whole leaf
## 546 Deciduous and evergreen Oven dried 50 Whole leaf
## 547 Deciduous and evergreen Oven dried 50 Whole leaf
## 548 Deciduous and evergreen Oven dried 50 Whole leaf
## 549 Deciduous and evergreen Oven dried 50 Whole leaf
## 550 Deciduous and evergreen Oven dried 50 Whole leaf
## 551 Deciduous and evergreen Oven dried 50 Whole leaf
## 552 Deciduous and evergreen Oven dried 50 Whole leaf
## 553 Deciduous and evergreen Oven dried 50 Whole leaf
## 554 Deciduous and evergreen Oven dried 50 Whole leaf
## 555 Deciduous and evergreen Oven dried 50 Whole leaf
## 556 Deciduous and evergreen Oven dried 50 Whole leaf
## 557 Deciduous and evergreen Oven dried 50 Whole leaf
## 558 Deciduous and evergreen Oven dried 50 Whole leaf
## 559 Deciduous and evergreen Oven dried 50 Whole leaf
## 560 Deciduous and evergreen Oven dried 50 Whole leaf
## 561 Deciduous and evergreen Oven dried 50 Whole leaf
## 562 Deciduous and evergreen Oven dried 50 Whole leaf
## 563 Deciduous and evergreen Oven dried 50 Whole leaf
## 564 Deciduous and evergreen Oven dried 50 Whole leaf
## 565 Deciduous and evergreen Oven dried 50 Whole leaf
## 566 Deciduous and evergreen Oven dried 50 Whole leaf
## 567 Deciduous and evergreen Oven dried 50 Whole leaf
## 568 Deciduous and evergreen Oven dried 50 Whole leaf
## 569 Deciduous and evergreen Oven dried 50 Whole leaf
## 570 Deciduous and evergreen Oven dried 50 Whole leaf
## 571 Deciduous and evergreen Oven dried 50 Whole leaf
## 572 Deciduous and evergreen Oven dried 50 Whole leaf
## 573 Deciduous and evergreen Oven dried 50 Whole leaf
## 574 Deciduous and evergreen Oven dried 50 Whole leaf
## 575 Deciduous and evergreen Oven dried 50 Whole leaf
## 576 Deciduous and evergreen Oven dried 50 Whole leaf
## 577 Deciduous and evergreen Oven dried 50 Whole leaf
## 578 Deciduous and evergreen Oven dried 50 Whole leaf
## 579 evergreen and herbaceous Air dried N/A 5
## 580 evergreen and herbaceous Air dried N/A 5
## 581 shrub and grass Air dried N/A Whole leaf
## 582 Deciduous Air dried N/A Whole leaf
## 583 Deciduous Air dried N/A Whole leaf
## 584 Deciduous Air dried N/A Whole leaf
## 585 Deciduous Air dried N/A Whole leaf
## 586 Deciduous and evergreen oven dried 25 Whole leaf
## 587 Deciduous and evergreen oven dried 25 Whole leaf
## 588 Deciduous and evergreen oven dried 25 Whole leaf
## 589 Deciduous and evergreen oven dried 25 Whole leaf
## 590 Deciduous and evergreen oven dried 25 Whole leaf
## 591 Deciduous and evergreen oven dried 25 Whole leaf
## 592 Deciduous and evergreen oven dried 25 Whole leaf
## 593 Deciduous and evergreen oven dried 25 Whole leaf
## 594 Deciduous and evergreen oven dried 25 Whole leaf
## 595 Deciduous and evergreen oven dried 25 Whole leaf
## 596 Deciduous and evergreen oven dried 25 Whole leaf
## 597 Deciduous and evergreen oven dried 25 Whole leaf
## 598 Deciduous and evergreen oven dried 25 Whole leaf
## 599 Deciduous and evergreen oven dried 25 Whole leaf
## 600 Deciduous and evergreen oven dried 25 Whole leaf
## 601 evergreen N/A N/A Whole leaf
## 602 evergreen Air dried N/A Whole leaf
## 603 evergreen Air dried N/A Whole leaf
## 604 evergreen Air dried N/A Whole leaf
## 605 evergreen Air dried N/A Whole leaf
## 606 evergreen Air dried N/A Whole leaf
## 607 evergreen Air dried N/A Whole leaf
## 608 evergreen Air dried N/A Whole leaf
## 609 evergreen Air dried N/A Whole leaf
## 610 evergreen Air dried N/A Whole leaf
## 611 evergreen Air dried N/A Whole leaf
## 612 evergreen Air dried N/A Whole leaf
## 613 evergreen Air dried N/A Whole leaf
## 614 evergreen Air dried N/A Whole leaf
## 615 evergreen Air dried N/A Whole leaf
## 616 evergreen Air dried N/A Whole leaf
## 617 evergreen Air dried N/A Whole leaf
## 618 evergreen Air dried N/A Whole leaf
## 619 evergreen Air dried N/A Whole leaf
## 620 evergreen Air dried N/A Whole leaf
## 621 evergreen Air dried N/A Whole leaf
## 622 evergreen Air dried N/A Whole leaf
## 623 evergreen Air dried N/A Whole leaf
## 624 evergreen Air dried N/A Whole leaf
## 625 evergreen Air dried N/A Whole leaf
## 626 evergreen Air dried N/A Whole leaf
## 627 evergreen Air dried N/A Whole leaf
## 628 evergreen Air dried N/A Whole leaf
## 629 evergreen Air dried N/A Whole leaf
## 630 evergreen Air dried N/A Whole leaf
## 631 evergreen Air dried N/A Whole leaf
## 632 evergreen Air dried N/A Whole leaf
## 633 evergreen Air dried N/A Whole leaf
## 634 evergreen Air dried N/A Whole leaf
## 635 evergreen Air dried N/A Whole leaf
## 636 evergreen Air dried N/A Whole leaf
## 637 evergreen Air dried N/A Whole leaf
## 638 evergreen Air dried N/A Whole leaf
## 639 evergreen Air dried N/A Whole leaf
## 640 evergreen Air dried N/A Whole leaf
## 641 evergreen Air dried N/A Whole leaf
## 642 evergreen Air dried N/A Whole leaf
## 643 evergreen Air dried N/A Whole leaf
## 644 evergreen Air dried N/A Whole leaf
## 645 evergreen Air dried N/A Whole leaf
## 646 evergreen Air dried N/A Whole leaf
## 647 evergreen Air dried N/A Whole leaf
## 648 evergreen Air dried N/A Whole leaf
## 649 evergreen Air dried N/A Whole leaf
## 650 Deciduous and evergreen Air dried N/A 2
## 651 Deciduous and evergreen Air dried N/A 2
## 652 Deciduous and evergreen Air dried N/A 2
## 653 Deciduous and evergreen Air dried N/A 2
## 654 Deciduous and evergreen Air dried N/A 2
## 655 Deciduous and evergreen Air dried N/A 2
## 656 Deciduous and evergreen Air dried N/A 2
## 657 Deciduous and evergreen Air dried N/A 2
## 658 Deciduous and evergreen Air dried N/A 2
## 659 Deciduous and evergreen Air dried N/A 2
## 660 Deciduous and evergreen Air dried N/A 2
## 661 Deciduous and evergreen Air dried N/A 2
## 662 Deciduous and evergreen Air dried N/A 2
## 663 Deciduous and evergreen Air dried N/A 2
## 664 Deciduous and evergreen Air dried N/A 2
## 665 Deciduous and evergreen Air dried N/A Whole leaf
## 666 Deciduous and evergreen Air dried N/A Whole leaf
## 667 Deciduous and evergreen Air dried N/A Whole leaf
## 668 Deciduous and evergreen Air dried N/A Whole leaf
## 669 Deciduous and evergreen Air dried N/A Whole leaf
## 670 evergreen Air dried N/A Whole leaf
## 671 evergreen Air dried N/A Whole leaf
## 672 evergreen Air dried N/A Whole leaf
## 673 evergreen Air dried N/A Whole leaf
## 674 evergreen Air dried N/A Whole leaf
## 675 evergreen Air dried N/A Whole leaf
## 676 evergreen Air dried N/A Whole leaf
## 677 evergreen Air dried N/A Whole leaf
## 678 evergreen Air dried N/A Whole leaf
## 679 evergreen Air dried N/A Whole leaf
## 680 evergreen Air dried N/A Whole leaf
## 681 Deciduous and evergreen Oven dried 40 Whole leaf
## 682 Deciduous and evergreen Oven dried 40 Whole leaf
## 683 Deciduous and evergreen Oven dried 40 Whole leaf
## 684 Deciduous and evergreen Oven dried 40 Whole leaf
## 685 Deciduous and evergreen Oven dried 40 Whole leaf
## 686 Deciduous and evergreen Oven dried 40 Whole leaf
## 687 Deciduous and evergreen Air dried N/A Whole leaf
## 688 Deciduous and evergreen Air dried N/A Whole leaf
## 689 Deciduous and evergreen Air dried N/A Whole leaf
## 690 Deciduous and evergreen Air dried N/A Whole leaf
## 691 Deciduous and evergreen Air dried N/A Whole leaf
## 692 Deciduous and evergreen Air dried N/A Whole leaf
## 693 Deciduous and evergreen Air dried N/A Whole leaf
## 694 Deciduous and evergreen Air dried N/A Whole leaf
## 695 Deciduous and evergreen Air dried N/A Whole leaf
## 696 Deciduous and evergreen Air dried N/A Whole leaf
## 697 Deciduous and evergreen Air dried N/A Whole leaf
## 698 Deciduous and evergreen Air dried N/A Whole leaf
## 699 Deciduous and evergreen Air dried N/A Whole leaf
## 700 Deciduous and evergreen Air dried N/A Whole leaf
## 701 Deciduous and evergreen Air dried N/A Whole leaf
## 702 Deciduous and evergreen Air dried N/A Whole leaf
## 703 Deciduous and evergreen Air dried N/A Whole leaf
## 704 Deciduous and evergreen Air dried N/A Whole leaf
## 705 Deciduous and evergreen Air dried N/A Whole leaf
## 706 Deciduous and evergreen Air dried N/A Whole leaf
## 707 Deciduous and evergreen Air dried N/A Whole leaf
## 708 Deciduous and evergreen Air dried N/A Whole leaf
## 709 Deciduous and evergreen Air dried N/A Whole leaf
## 710 Deciduous and evergreen Air dried N/A Whole leaf
## 711 Deciduous and evergreen Air dried N/A Whole leaf
## 712 Deciduous and evergreen Air dried N/A Whole leaf
## 713 Deciduous and evergreen Air dried N/A Whole leaf
## 714 Deciduous and evergreen Air dried N/A Whole leaf
## 715 Deciduous and evergreen Air dried N/A Whole leaf
## 716 Deciduous and evergreen Air dried N/A Whole leaf
## 717 shrub and fern Oven dried N/A Whole leaf
## 718 legume and fern Oven dried N/A Whole leaf
## 719 shrub and legume Oven dried N/A Whole leaf
## 720 evergreen and fern Oven dried N/A Whole leaf
## 721 shrub and fern Oven dried N/A Whole leaf
## 722 shrub and evergreen Oven dried N/A Whole leaf
## 723 shrubs Oven dried N/A Whole leaf
## 724 evergreen and legume Oven dried N/A Whole leaf
## 725 shrub and legume Oven dried N/A Whole leaf
## 726 shrub and evergreen Oven dried N/A Whole leaf
## 727 herbaceous Oven dried N/A Whole leaf
## 728 herbaceous Oven dried N/A Whole leaf
## 729 herbaceous Oven dried N/A Whole leaf
## 730 herbaceous Oven dried N/A Whole leaf
## 731 herbaceous Oven dried N/A Whole leaf
## 732 grass and herbaceous Oven dried N/A Whole leaf
## 733 herbaceous Oven dried N/A Whole leaf
## 734 herbaceous Oven dried N/A Whole leaf
## 735 herbaceous Oven dried N/A Whole leaf
## 736 herbaceous Oven dried N/A Whole leaf
## 737 climbers and woody plants Air dried N/A Whole leaf
## 738 climbers and woody plants Air dried N/A Whole leaf
## 739 climbers and woody plants Air dried N/A Whole leaf
## 740 climbers and woody plants Air dried N/A Whole leaf
## 741 climbers and woody plants Air dried N/A Whole leaf
## 742 climbers and woody plants Air dried N/A Whole leaf
## 743 climbers and woody plants Air dried N/A Whole leaf
## 744 climbers and woody plants Air dried N/A Whole leaf
## 745 climbers and woody plants Air dried N/A Whole leaf
## 746 climbers and woody plants Air dried N/A Whole leaf
## 747 climbers and woody plants Air dried N/A Whole leaf
## 748 climbers and woody plants Air dried N/A Whole leaf
## 749 climbers and woody plants Air dried N/A Whole leaf
## 750 climbers and woody plants Air dried N/A Whole leaf
## 751 climbers and woody plants Air dried N/A Whole leaf
## 752 climbers and woody plants Air dried N/A Whole leaf
## 753 climbers and woody plants Air dried N/A Whole leaf
## 754 climbers and woody plants Air dried N/A Whole leaf
## 755 climbers and woody plants Air dried N/A Whole leaf
## 756 climbers and woody plants Air dried N/A Whole leaf
## 757 climbers and woody plants Air dried N/A Whole leaf
## 758 climbers and woody plants Air dried N/A Whole leaf
## 759 climbers and woody plants Air dried N/A Whole leaf
## 760 climbers and woody plants Air dried N/A Whole leaf
## 761 climbers and woody plants Air dried N/A Whole leaf
## 762 climbers and woody plants Air dried N/A Whole leaf
## 763 climbers and woody plants Air dried N/A Whole leaf
## 764 shrubs Air dried N/A Whole leaf
## 765 shrubs Air dried N/A Whole leaf
## 766 shrubs Air dried N/A Whole leaf
## 767 shrubs Air dried N/A Whole leaf
## 768 Deciduous Air dried N/A Whole leaf
## 769 Deciduous Air dried N/A Whole leaf
## 770 Deciduous Air dried N/A Whole leaf
## 771 Deciduous Air dried N/A Whole leaf
## 772 Deciduous Air dried N/A Whole leaf
## 773 Deciduous Air dried N/A Whole leaf
## 774 Deciduous Air dried N/A Whole leaf
## 775 Deciduous Air dried N/A Whole leaf
## 776 Deciduous Air dried N/A Whole leaf
## 777 Deciduous Air dried N/A Whole leaf
## 778 Deciduous shrub and forb Air dried N/A Whole leaf
## 779 shrub and forb Air dried N/A Whole leaf
## 780 shrub and evergreen Air dried N/A Whole leaf
## 781 shrub and grass Air dried N/A Whole leaf
## 782 forbs Air dried N/A Whole leaf
## 783 evergreen and forb Air dried N/A Whole leaf
## 784 forb and grass Air dried N/A Whole leaf
## 785 evergreen and forb Air dried N/A Whole leaf
## 786 forb and grass Air dried N/A Whole leaf
## 787 evergreen and grass Air dried N/A Whole leaf
## 788 shrub and forb Air dried N/A Whole leaf
## 789 shrub forb and evergreen Air dried N/A Whole leaf
## 790 shrub and forb Air dried N/A Whole leaf
## 791 shrub, forb and grass Air dried N/A Whole leaf
## 792 forb, evergreen and grass Air dried N/A Whole leaf
## 793 forb, evergreen and grass Air dried N/A Whole leaf
## 794 forb, evergreen and grass Air dried N/A Whole leaf
## 795 forb, evergreen and grass Air dried N/A Whole leaf
## 796 shrub, evergreen and grass Air dried N/A Whole leaf
## 797 forb, evergreen and grass Air dried N/A Whole leaf
## 798 forb, evergreen and grass Air dried N/A Whole leaf
## 799 forb, evergreen and grass Air dried N/A Whole leaf
## 800 forb, evergreen and grass Air dried N/A Whole leaf
## 801 forb, evergreen and grass Air dried N/A Whole leaf
## 802 forb, evergreen and grass Air dried N/A Whole leaf
## 803 forb, evergreen and grass Air dried N/A Whole leaf
## 804 grass Oven dried 65 5
## 805 grass Oven dried 65 5
## 806 grass Oven dried 65 5
## 807 grass Oven dried 65 5
## 808 grass and legume Oven dried 65 5
## 809 grass and legume Oven dried 65 5
## 810 grass and legume Oven dried 65 5
## 811 grass and legume Oven dried 65 5
## 812 grass and legume Oven dried 65 5
## 813 grass and legume Oven dried 65 5
## 814 grass and legume Oven dried 65 5
## 815 grass and legume Oven dried 65 5
## 816 evergreen Air dried N/A Whole leaf
## 817 evergreen Air dried N/A Whole leaf
## 818 evergreen Air dried N/A Whole leaf
## 819 evergreen Air dried N/A Whole leaf
## 820 evergreen Air dried N/A Whole leaf
## 821 evergreen Air dried N/A Whole leaf
## 822 evergreen Air dried N/A Whole leaf
## 823 evergreen Air dried N/A Whole leaf
## 824 evergreen Air dried N/A Whole leaf
## 825 evergreen Air dried N/A Whole leaf
## 826 evergreen Air dried N/A Whole leaf
## 827 evergreen Air dried N/A Whole leaf
## 828 evergreen Air dried N/A Whole leaf
## 829 evergreen Air dried N/A Whole leaf
## 830 evergreen Air dried N/A Whole leaf
## 831 evergreen Air dried N/A Whole leaf
## 832 evergreen Air dried N/A Whole leaf
## 833 evergreen Air dried N/A Whole leaf
## 834 evergreen Air dried N/A Whole leaf
## 835 evergreen Air dried N/A Whole leaf
## 836 evergreen Air dried N/A Whole leaf
## 837 evergreen Air dried N/A Whole leaf
## 838 evergreen Air dried N/A Whole leaf
## 839 evergreen Air dried N/A Whole leaf
## 840 evergreen Air dried N/A Whole leaf
## 841 evergreen Air dried N/A Whole leaf
## 842 evergreen Air dried N/A Whole leaf
## 843 evergreen Air dried N/A Whole leaf
## 844 evergreen Air dried N/A Whole leaf
## 845 evergreen Air dried N/A Whole leaf
## 846 evergreen Air dried N/A Whole leaf
## 847 evergreen Air dried N/A Whole leaf
## 848 evergreen Air dried N/A Whole leaf
## 849 evergreen Air dried N/A Whole leaf
## 850 evergreen Air dried N/A Whole leaf
## 851 evergreen Air dried N/A Whole leaf
## 852 evergreen Air dried N/A Whole leaf
## 853 evergreen Air dried N/A Whole leaf
## 854 evergreen Air dried N/A Whole leaf
## 855 evergreen Air dried N/A Whole leaf
## 856 evergreen Air dried N/A Whole leaf
## 857 evergreen Air dried N/A Whole leaf
## 858 evergreen Air dried N/A Whole leaf
## 859 evergreen Air dried N/A Whole leaf
## 860 grass and forb Air dried N/A Whole leaf
## 861 grass and forb Air dried N/A Whole leaf
## 862 grass and forb Air dried N/A Whole leaf
## 863 grass and forb Air dried N/A Whole leaf
## 864 grass and forb Air dried N/A Whole leaf
## 865 grass and forb Air dried N/A Whole leaf
## 866 grass and forb Air dried N/A Whole leaf
## 867 grass and forb Air dried N/A Whole leaf
## sp_div_in_mixture species_richness propotions Mixture_mass_ratio n_expected
## 1 2 two equal 01:01 6
## 2 2 two equal 01:01 6
## 3 3 three equal 01:01:01 6
## 4 2 two equal 01:01 6
## 5 2 two equal 01:01 6
## 6 3 three equal 01:01:01 6
## 7 2 two equal 01:01 6
## 8 2 two equal 01:01 6
## 9 3 three equal 01:01:01 6
## 10 2 two equal 01:01 6
## 11 2 two equal 01:01 6
## 12 3 three equal 01:01:01 6
## 13 2 two equal 01:01 6
## 14 2 two equal 01:01 6
## 15 3 three equal 01:01:01 6
## 16 2 two equal 01:01 6
## 17 2 two equal 01:01 6
## 18 3 three equal 01:01:01 6
## 19 2 two equal 01:01 6
## 20 2 two equal 01:01 6
## 21 3 three equal 01:01:01 6
## 22 2 two equal 01:01 6
## 23 2 two equal 01:01 6
## 24 3 three equal 01:01:01 6
## 25 2 two equal 01:01 5
## 26 2 two equal 01:01 5
## 27 2 two equal 01:01 5
## 28 2 two equal 01:01 5
## 29 2 two equal 01:01 5
## 30 2 two equal 01:01 5
## 31 2 two equal 01:01 5
## 32 2 two equal 01:01 5
## 33 2 two equal 01:01 5
## 34 2 two equal 01:01 5
## 35 2 two equal 01:01 5
## 36 2 two equal 01:01 5
## 37 2 two equal 01:01 5
## 38 2 two equal 01:01 5
## 39 2 two equal 01:01 5
## 40 2 two equal 01:01 5
## 41 2 two equal 01:01 5
## 42 2 two equal 01:01 5
## 43 2 two equal 01:01 6
## 44 2 two equal 01:01 6
## 45 2 two equal 01:01 6
## 46 2 two equal 01:01 6
## 47 2 two equal 01:01 6
## 48 2 two equal 01:01 6
## 49 2 two equal 01:01 6
## 50 2 two equal 01:01 6
## 51 2 two equal 01:01 6
## 52 2 two equal 01:01 6
## 53 2 two equal 01:01 6
## 54 2 two equal 01:01 6
## 55 4 four equal 1:1:1:1 6
## 56 4 four equal 1:1:1:1 6
## 57 4 four equal 1:1:1:1 6
## 58 4 four equal 1:1:1:1 6
## 59 3 three equal 01:01:01 12
## 60 3 three equal 01:01:01 12
## 61 2 two equal 01:01 5
## 62 2 two equal 01:01 5
## 63 2 two equal 01:01 5
## 64 2 two equal 01:01 5
## 65 2 two equal 01:01 5
## 66 2 two equal 01:01 5
## 67 3 three equal 01:01:01 5
## 68 3 three equal 01:01:01 5
## 69 3 three equal 01:01:01 5
## 70 3 three equal 01:01:01 5
## 71 4 four equal 1:1:1:1 5
## 72 4 four equal 1:1:1:1 5
## 73 4 four equal 1:1:1:1 5
## 74 6 six equal 1:1:1:1:1:1 5
## 75 2 two equal 01:01 5
## 76 2 two equal 01:01 5
## 77 2 two equal 01:01 5
## 78 2 two equal 01:01 5
## 79 2 two equal 01:01 5
## 80 2 two equal 01:01 5
## 81 3 three equal 01:01:01 5
## 82 3 three equal 01:01:01 5
## 83 3 three equal 01:01:01 5
## 84 3 three equal 01:01:01 5
## 85 4 four equal 1:1:1:1 5
## 86 4 four equal 1:1:1:1 5
## 87 4 four equal 1:1:1:1 5
## 88 6 six equal 1:1:1:1:1:1 5
## 89 2 two equal 01:01 4
## 90 2 two equal 01:01 4
## 91 2 two equal 01:01 4
## 92 2 two equal 01:01 3
## 93 2 two equal 01:01 3
## 94 2 two equal 01:01 3
## 95 2 two equal 01:01 3
## 96 2 two equal 01:01 3
## 97 2 two equal 01:01 3
## 98 2 two equal 01:01 6
## 99 2 two equal 01:01 6
## 100 2 two equal 01:01 6
## 101 2 two equal 01:01 6
## 102 2 two equal 01:01 6
## 103 2 two equal 01:01 6
## 104 2 two equal 01:01 6
## 105 2 two equal 01:01 6
## 106 3 three equal 01:01:01 6
## 107 3 three equal 01:01:01 6
## 108 3 three equal 01:01:01 6
## 109 3 three equal 01:01:01 6
## 110 2 two equal 01:01 6
## 111 2 two equal 01:01 6
## 112 2 two equal 01:01 6
## 113 2 two equal 01:01 6
## 114 2 two equal 01:01 6
## 115 2 two equal 01:01 6
## 116 2 two equal 01:01 6
## 117 2 two equal 01:01 6
## 118 3 three equal 01:01:01 6
## 119 3 three equal 01:01:01 6
## 120 3 three equal 01:01:01 6
## 121 3 three equal 01:01:01 6
## 122 2 two different 01:04 5
## 123 2 two different 01:04 5
## 124 2 two different 01:04 5
## 125 2 two different 01:04 5
## 126 2 two different 01:04 5
## 127 2 two equal 01:01 5
## 128 2 two equal 01:01 5
## 129 2 two equal 01:01 5
## 130 2 two equal 01:01 5
## 131 2 two equal 01:01 5
## 132 2 two different 04:01 5
## 133 2 two different 04:01 5
## 134 2 two different 04:01 5
## 135 2 two different 04:01 5
## 136 2 two different 04:01 5
## 137 2 two equal 01:01 3
## 138 2 two equal 01:01 3
## 139 3 three equal 01:01 3
## 140 3 three different 07:02 3
## 141 3 three different 07:02 3
## 142 3 three different 07:02 3
## 143 3 three different 07:02 3
## 144 3 three different 07:02 3
## 145 3 three different 07:02 3
## 146 3 three different 07:02 3
## 147 3 three different 07:02 3
## 148 3 three different 07:02 3
## 149 3 three different 07:02 3
## 150 3 three different 07:02 3
## 151 3 three different 07:02 3
## 152 2 two equal 01:01 8
## 153 2 two equal 01:01 8
## 154 2 two equal 01:01 8
## 155 2 two equal 01:01 8
## 156 2 two equal 01:01 8
## 157 2 two equal 01:01 8
## 158 2 two equal 01:01 8
## 159 2 two equal 01:01 8
## 160 2 two equal 01:01 8
## 161 2 two equal 01:01 8
## 162 2 two equal 01:01 8
## 163 2 two equal 01:01 8
## 164 2 two equal 01:01 8
## 165 2 two equal 01:01 8
## 166 2 two equal 01:01 8
## 167 2 two equal 01:01 8
## 168 2 two equal 01:01 8
## 169 2 two equal 01:01 8
## 170 2 two equal 01:01 8
## 171 2 two equal 01:01 8
## 172 2 two equal 01:01 8
## 173 2 two equal 01:01 8
## 174 2 two equal 01:01 8
## 175 2 two equal 01:01 8
## 176 2 two different 02:01 6
## 177 2 two different 02:01 6
## 178 2 two different 02:01 6
## 179 2 two different 02:01 6
## 180 2 two different 02:01 6
## 181 2 two different 02:01 6
## 182 2 two different 02:01 6
## 183 2 two different 02:01 6
## 184 2 two different 03:01 6
## 185 2 two equal 01:01 6
## 186 2 two different 01:03 6
## 187 2 two different 03:01 6
## 188 2 two equal 01:01 6
## 189 2 two different 01:03 6
## 190 3 three equal 01:01:01 5
## 191 3 three equal 01:01:01 5
## 192 3 three equal 01:01:01 5
## 193 3 three equal 01:01:01 5
## 194 2 two different 03:02 5
## 195 2 two different 03:02 5
## 196 2 two different 03:02 5
## 197 2 two different 03:02 5
## 198 2 two different 03:02 5
## 199 2 two different 03:02 5
## 200 2 two equal 01:01 3
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## 509 5 five equal 1:1:1:1:1 3
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## 511 12 twelve equal Equal 6
## 512 12 twelve equal Equal 6
## 513 12 twelve equal Equal 6
## 514 12 twelve equal Equal 6
## 515 3 three equal 01:01:01 10
## 516 3 three equal 01:01:01 10
## 517 3 three equal 01:01:01 10
## 518 6 six equal 1:1:1:1:1:1 10
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## 853 2 two equal 01:01 3
## 854 2 two equal 01:01 3
## 855 3 three equal 01:01:01 3
## 856 3 three equal 01:01:01 3
## 857 3 three equal 01:01:01 3
## 858 3 three equal 01:01:01 3
## 859 4 four equal 01:01:01:1 3
## 860 2 two equal 01:01 3
## 861 2 two equal 01:01 3
## 862 2 two equal 01:01 3
## 863 2 two equal 01:01 3
## 864 2 two equal 01:01 3
## 865 2 two equal 01:01 3
## 866 2 two equal 01:01 3
## 867 2 two equal 01:01 3
## n_observed Lit_Car Lit_Nit Lit_Pho Lit_Lig Lit_Car_Nit_ratio
## 1 6 56.8400 1.2600 NA NA 45.3000
## 2 6 50.8100 1.4300 NA NA 35.4700
## 3 6 53.8400 1.3900 NA NA 38.7000
## 4 6 56.8400 1.2600 NA NA 45.3000
## 5 6 50.8100 1.4300 NA NA 35.4700
## 6 6 53.8400 1.3900 NA NA 38.7000
## 7 6 56.8400 1.2600 NA NA 45.3000
## 8 6 50.8100 1.4300 NA NA 35.4700
## 9 6 53.8400 1.3900 NA NA 38.7000
## 10 6 56.8400 1.2600 NA NA 45.3000
## 11 6 50.8100 1.4300 NA NA 35.4700
## 12 6 53.8400 1.3900 NA NA 38.7000
## 13 6 56.8400 1.2600 NA NA 45.3000
## 14 6 50.8100 1.4300 NA NA 35.4700
## 15 6 53.8400 1.3900 NA NA 38.7000
## 16 6 56.8400 1.2600 NA NA 45.3000
## 17 6 50.8100 1.4300 NA NA 35.4700
## 18 6 53.8400 1.3900 NA NA 38.7000
## 19 6 56.8400 1.2600 NA NA 45.3000
## 20 6 50.8100 1.4300 NA NA 35.4700
## 21 6 53.8400 1.3900 NA NA 38.7000
## 22 6 56.8400 1.2600 NA NA 45.3000
## 23 6 50.8100 1.4300 NA NA 35.4700
## 24 6 53.8400 1.3900 NA NA 38.7000
## 25 5 46.4000 0.9950 NA 332.9000 NA
## 26 5 46.4000 0.9950 NA 332.9000 NA
## 27 5 46.4000 0.9950 NA 332.9000 NA
## 28 5 46.4000 0.9950 NA 332.9000 NA
## 29 5 46.4000 0.9950 NA 332.9000 NA
## 30 5 46.4000 0.9950 NA 332.9000 NA
## 31 5 47.3000 0.7800 NA 314.4500 NA
## 32 5 47.3000 0.7800 NA 314.4500 NA
## 33 5 47.3000 0.7800 NA 314.4500 NA
## 34 5 47.3000 0.7800 NA 314.4500 NA
## 35 5 47.3000 0.7800 NA 314.4500 NA
## 36 5 47.3000 0.7800 NA 314.4500 NA
## 37 5 47.4500 1.1350 NA 383.2500 NA
## 38 5 47.4500 1.1350 NA 383.2500 NA
## 39 5 47.4500 1.1350 NA 383.2500 NA
## 40 5 47.4500 1.1350 NA 383.2500 NA
## 41 5 47.4500 1.1350 NA 383.2500 NA
## 42 5 47.4500 1.1350 NA 383.2500 NA
## 43 6 48.6000 0.6165 0.0285 NA NA
## 44 6 48.6000 0.6165 0.0285 NA NA
## 45 6 48.6000 0.6165 0.0285 NA NA
## 46 6 48.6000 0.6165 0.0285 NA NA
## 47 6 48.5950 0.8290 0.0260 NA NA
## 48 6 48.5950 0.8290 0.0260 NA NA
## 49 6 48.5950 0.8290 0.0260 NA NA
## 50 6 48.5950 0.8290 0.0260 NA NA
## 51 6 47.3700 0.5435 0.0490 NA NA
## 52 6 47.3700 0.5435 0.0490 NA NA
## 53 6 47.3700 0.5435 0.0490 NA NA
## 54 6 47.3700 0.5435 0.0490 NA NA
## 55 6 43.2340 0.8275 0.0448 NA NA
## 56 6 43.2340 0.8275 0.0448 NA NA
## 57 6 43.2340 0.8275 0.0448 NA NA
## 58 6 43.2340 0.8275 0.0448 NA NA
## 59 12 51.4300 0.8800 NA NA NA
## 60 12 50.4600 0.8600 NA NA NA
## 61 5 49.0500 1.0800 0.0375 NA 46.3000
## 62 5 48.7500 1.0250 0.0255 NA 48.3500
## 63 5 49.4000 1.1600 0.0325 NA 43.6500
## 64 5 46.3000 1.0400 0.0305 NA 45.9000
## 65 5 49.3500 1.3200 0.0370 NA 37.7000
## 66 5 45.9500 1.1450 0.0230 NA 42.0000
## 67 5 47.0000 1.0100 0.0340 NA 47.3670
## 68 5 46.7700 1.0770 0.0220 NA 45.2300
## 69 5 49.5000 1.1800 0.0400 NA 42.7300
## 70 5 49.2000 1.2500 0.0280 NA 40.6000
## 71 5 49.0500 1.1700 0.0260 NA 43.3800
## 72 5 47.5000 1.1130 0.0303 NA 44.1500
## 73 5 47.8500 1.1030 0.0370 NA 44.4250
## 74 5 48.1000 1.1280 0.0310 NA 43.9800
## 75 5 49.0500 1.0800 0.0375 NA 46.3000
## 76 5 48.7500 1.0250 0.0255 NA 48.3500
## 77 5 49.4000 1.1600 0.0325 NA 43.6500
## 78 5 46.3000 1.0400 0.0305 NA 45.9000
## 79 5 49.3500 1.3200 0.0370 NA 37.7000
## 80 5 45.9500 1.1450 0.0230 NA 42.0000
## 81 5 47.0000 1.0100 0.0340 NA 47.3670
## 82 5 46.7700 1.0770 0.0220 NA 45.2300
## 83 5 49.5000 1.1800 0.0400 NA 42.7300
## 84 5 49.2000 1.2500 0.0280 NA 40.6000
## 85 5 49.0500 1.1700 0.0260 NA 43.3800
## 86 5 47.5000 1.1130 0.0303 NA 44.1500
## 87 5 47.8500 1.1030 0.0370 NA 44.4250
## 88 5 48.1000 1.1280 0.0310 NA 43.9800
## 89 4 NA 0.9700 NA NA NA
## 90 4 NA 0.9700 NA NA NA
## 91 4 NA 0.9700 NA NA NA
## 92 3 52.1500 1.1600 0.0450 3.5500 NA
## 93 3 52.1500 1.1600 0.0450 3.5500 NA
## 94 3 52.1500 1.1600 0.0450 3.5500 NA
## 95 3 52.1500 1.1600 0.0450 3.5500 NA
## 96 3 52.1500 1.1600 0.0450 3.5500 NA
## 97 3 52.1500 1.1600 0.0450 3.5500 NA
## 98 6 56.8000 1.2600 NA NA 45.3000
## 99 6 56.8000 1.2600 NA NA 45.3000
## 100 6 56.8000 1.2600 NA NA 45.3000
## 101 6 56.8000 1.2600 NA NA 45.3000
## 102 6 50.8000 1.4300 NA NA 35.5000
## 103 6 50.8000 1.4300 NA NA 35.5000
## 104 6 50.8000 1.4300 NA NA 35.5000
## 105 6 50.8000 1.4300 NA NA 35.5000
## 106 6 53.8000 1.3900 NA NA 38.7000
## 107 6 53.8000 1.3900 NA NA 38.7000
## 108 6 53.8000 1.3900 NA NA 38.7000
## 109 6 53.8000 1.3900 NA NA 38.7000
## 110 6 56.8000 1.2600 NA NA 45.3000
## 111 6 56.8000 1.2600 NA NA 45.3000
## 112 6 56.8000 1.2600 NA NA 45.3000
## 113 6 56.8000 1.2600 NA NA 45.3000
## 114 6 50.8000 1.4300 NA NA 35.5000
## 115 6 50.8000 1.4300 NA NA 35.5000
## 116 6 50.8000 1.4300 NA NA 35.5000
## 117 6 50.8000 1.4300 NA NA 35.5000
## 118 6 53.8000 1.3900 NA NA 38.7000
## 119 6 53.8000 1.3900 NA NA 38.7000
## 120 6 53.8000 1.3900 NA NA 38.7000
## 121 6 53.8000 1.3900 NA NA 38.7000
## 122 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 123 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 124 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 125 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 126 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 127 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 128 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 129 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 130 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 131 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 132 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 133 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 134 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 135 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 136 5 37.7000 1.4200 0.2090 7.0450 31.2700
## 137 3 NA NA NA NA NA
## 138 3 NA NA NA NA NA
## 139 3 NA NA NA NA NA
## 140 3 50.0200 1.3670 0.1230 NA 40.4300
## 141 3 50.0200 1.3670 0.1230 NA 40.4300
## 142 3 50.0200 1.3670 0.1230 NA 40.4300
## 143 3 50.0200 1.3670 0.1230 NA 40.4300
## 144 3 50.0200 1.3670 0.1230 NA 40.4300
## 145 3 50.0200 1.3670 0.1230 NA 40.4300
## 146 3 50.0200 1.3670 0.1230 NA 40.4300
## 147 3 50.0200 1.3670 0.1230 NA 40.4300
## 148 3 50.0200 1.3670 0.1230 NA 40.4300
## 149 3 50.0200 1.3670 0.1230 NA 40.4300
## 150 3 50.0200 1.3670 0.1230 NA 40.4300
## 151 3 50.0200 1.3670 0.1230 NA 40.4300
## 152 8 NA 1.3700 NA 13.1650 39.0000
## 153 8 NA 1.2400 NA 18.7800 56.4500
## 154 8 NA 1.3450 NA 18.4050 44.2500
## 155 8 NA 1.4150 NA 13.2400 32.7000
## 156 8 NA 1.7250 NA 13.4600 19.8500
## 157 8 NA 1.6600 NA 11.2100 46.4500
## 158 8 NA 1.7050 NA 20.0200 40.1500
## 159 8 NA 1.5300 NA 33.6500 63.9000
## 160 8 NA 1.6350 NA 16.4500 51.7000
## 161 8 NA 2.0150 NA 11.5050 27.3000
## 162 8 NA 1.1450 NA 25.9850 66.3500
## 163 8 NA 0.6100 NA 19.2850 92.0500
## 164 8 NA 1.3700 NA 13.1650 39.0000
## 165 8 NA 1.2400 NA 18.7800 56.4500
## 166 8 NA 1.3450 NA 18.4050 44.2500
## 167 8 NA 1.4150 NA 13.2400 32.7000
## 168 8 NA 1.7250 NA 13.4600 19.8500
## 169 8 NA 1.6600 NA 11.2100 46.4500
## 170 8 NA 1.7050 NA 20.0200 40.1500
## 171 8 NA 1.5300 NA 33.6500 63.9000
## 172 8 NA 1.6350 NA 16.4500 51.7000
## 173 8 NA 2.0150 NA 11.5050 27.3000
## 174 8 NA 1.1450 NA 25.9850 66.3500
## 175 8 NA 0.6100 NA 19.2850 92.0500
## 176 6 50.6500 0.8100 NA 34.6500 64.1500
## 177 6 50.6500 0.8100 NA 34.6500 64.1500
## 178 6 50.6500 0.8100 NA 34.6500 64.1500
## 179 6 50.6500 0.8100 NA 34.6500 64.1500
## 180 6 50.6500 0.8100 NA 34.6500 64.1500
## 181 6 50.6500 0.8100 NA 34.6500 64.1500
## 182 6 50.6500 0.8100 NA 34.6500 64.1500
## 183 6 50.6500 0.8100 NA 34.6500 64.1500
## 184 6 51.4000 1.3250 0.1032 NA 45.5000
## 185 6 51.4000 1.3250 0.1032 NA 45.5000
## 186 6 51.4000 1.3250 0.1032 NA 45.5000
## 187 6 51.4000 1.3250 0.1032 NA 45.5000
## 188 6 51.4000 1.3250 0.1032 NA 45.5000
## 189 6 51.4000 1.3250 0.1032 NA 45.5000
## 190 5 51.0000 0.8330 NA 25.3670 65.3300
## 191 5 51.0000 0.8330 NA 25.3670 65.3300
## 192 5 51.0000 0.8330 NA 25.3670 65.3300
## 193 5 51.0000 0.8330 NA 25.3670 65.3300
## 194 5 45.5000 1.4250 0.1070 NA 33.0000
## 195 5 45.5000 1.4250 0.1070 NA 33.0000
## 196 5 45.5000 1.4250 0.1070 NA 33.0000
## 197 5 45.5000 1.4250 0.1070 NA 33.0000
## 198 5 45.5000 1.4250 0.1070 NA 33.0000
## 199 5 45.5000 1.4250 0.1070 NA 33.0000
## 200 3 NA 1.0150 0.2050 NA NA
## 201 3 NA 1.0150 0.2050 NA NA
## 202 3 NA 1.0150 0.2050 NA NA
## 203 3 NA 1.0150 0.2050 NA NA
## 204 3 NA 1.0150 0.2050 NA NA
## 205 3 NA 1.0150 0.2050 NA NA
## 206 3 NA 1.0150 0.2050 NA NA
## 207 3 NA 1.0150 0.2050 NA NA
## 208 3 NA 1.0150 0.2050 NA NA
## 209 3 NA 1.0150 0.2050 NA NA
## 210 3 46.9000 1.4600 NA NA 32.1300
## 211 3 46.9000 1.4600 NA NA 32.1300
## 212 3 46.9000 1.4600 NA NA 32.1300
## 213 3 46.7600 1.1700 NA NA 39.8900
## 214 3 46.7600 1.1700 NA NA 39.8900
## 215 3 46.7600 1.1700 NA NA 39.8900
## 216 5 NA 1.3900 NA 17.3000 32.6000
## 217 5 NA 1.2200 NA 21.5000 38.4000
## 218 5 NA 1.3400 NA 22.5000 32.3000
## 219 5 NA 1.3900 NA 17.3000 32.6000
## 220 5 NA 1.2200 NA 21.5000 38.4000
## 221 5 NA 1.3400 NA 22.5000 32.3000
## 222 5 51.0000 0.8330 NA 25.3670 65.3300
## 223 5 51.0000 0.8330 NA 25.3670 65.3300
## 224 5 51.0000 0.8330 NA 25.3670 65.3300
## 225 5 51.0000 0.8330 NA 25.3670 65.3300
## 226 5 47.5400 0.8660 0.1165 NA NA
## 227 5 47.5400 0.8660 0.1165 NA NA
## 228 5 47.5400 0.8660 0.1165 NA NA
## 229 5 47.5400 0.8660 0.1165 NA NA
## 230 5 47.5400 0.8660 0.1165 NA NA
## 231 5 47.5400 0.8660 0.1165 NA NA
## 232 5 47.5400 0.8660 0.1165 NA NA
## 233 5 47.5400 0.8660 0.1165 NA NA
## 234 5 47.5400 0.8660 0.1165 NA NA
## 235 5 47.5400 0.8660 0.1165 NA NA
## 236 5 47.5400 0.8660 0.1165 NA NA
## 237 5 47.5400 0.8660 0.1165 NA NA
## 238 5 47.5400 0.8660 0.1165 NA NA
## 239 5 47.5400 0.8660 0.1165 NA NA
## 240 5 47.5400 0.8660 0.1165 NA NA
## 241 5 47.5400 0.8660 0.1165 NA NA
## 242 5 47.5400 0.8660 0.1165 NA NA
## 243 5 47.5400 0.8660 0.1165 NA NA
## 244 5 47.5400 0.8660 0.1165 NA NA
## 245 5 47.5400 0.8660 0.1165 NA NA
## 246 5 47.5400 0.8660 0.1165 NA NA
## 247 5 47.5400 0.8660 0.1165 NA NA
## 248 5 47.5400 0.8660 0.1165 NA NA
## 249 5 47.5400 0.8660 0.1165 NA NA
## 250 5 47.5400 0.8660 0.1165 NA NA
## 251 5 47.5400 0.8660 0.1165 NA NA
## 252 5 47.5400 0.8660 0.1165 NA NA
## 253 5 47.5400 0.8660 0.1165 NA NA
## 254 5 47.5400 0.8660 0.1165 NA NA
## 255 5 47.5400 0.8660 0.1165 NA NA
## 256 5 47.5400 0.8660 0.1165 NA NA
## 257 5 47.5400 0.8660 0.1165 NA NA
## 258 5 47.5400 0.8660 0.1165 NA NA
## 259 6 44.1300 1.9000 1.7150 25.0300 23.1700
## 260 6 44.1300 1.9000 1.7150 25.0300 23.1700
## 261 6 44.1300 1.9000 1.7150 25.0300 23.1700
## 262 6 44.1300 1.9000 1.7150 25.0300 23.1700
## 263 6 44.1300 1.9000 1.7150 25.0300 23.1700
## 264 3 NA NA NA NA NA
## 265 3 NA NA NA NA NA
## 266 3 NA NA NA NA NA
## 267 3 NA NA NA NA NA
## 268 3 NA NA NA NA NA
## 269 3 NA NA NA NA NA
## 270 3 NA NA NA NA NA
## 271 3 NA NA NA NA NA
## 272 3 NA NA NA NA NA
## 273 3 NA NA NA NA NA
## 274 3 NA NA NA NA NA
## 275 3 NA NA NA NA NA
## 276 3 NA NA NA NA NA
## 277 3 NA NA NA NA NA
## 278 3 NA NA NA NA NA
## 279 3 NA NA NA NA NA
## 280 3 NA NA NA NA NA
## 281 3 NA NA NA NA NA
## 282 3 NA NA NA NA NA
## 283 3 NA NA NA NA NA
## 284 3 NA NA NA NA NA
## 285 3 NA NA NA NA NA
## 286 3 NA NA NA NA NA
## 287 3 NA NA NA NA NA
## 288 3 NA NA NA NA NA
## 289 3 NA NA NA NA NA
## 290 3 NA NA NA NA NA
## 291 3 NA NA NA NA NA
## 292 3 NA NA NA NA NA
## 293 3 NA NA NA NA NA
## 294 3 NA NA NA NA NA
## 295 3 NA NA NA NA NA
## 296 3 NA NA NA NA NA
## 297 3 NA NA NA NA NA
## 298 3 NA NA NA NA NA
## 299 3 NA NA NA NA NA
## 300 3 38.6850 1.6250 NA NA 24.3700
## 301 3 42.3400 1.6750 NA NA 25.6350
## 302 3 42.7750 1.4750 NA NA 31.3400
## 303 3 42.9850 1.4650 NA NA 31.9150
## 304 3 42.8050 1.3350 NA NA 38.2400
## 305 3 42.9350 1.4350 NA NA 33.1450
## 306 3 42.2250 1.4100 NA NA 33.6200
## 307 3 51.4740 1.3360 0.0710 24.8880 42.1500
## 308 3 48.2610 1.2150 0.0960 17.7320 42.4000
## 309 3 48.7750 1.6110 0.0655 18.3660 30.3500
## 310 3 51.4740 1.3360 0.0710 24.8880 42.1500
## 311 3 48.2610 1.2150 0.0960 17.7320 42.4000
## 312 3 48.7750 1.6110 0.0655 18.3660 30.3500
## 313 3 51.8340 0.8000 NA 25.7870 65.0600
## 314 3 53.0340 0.7680 NA 27.1070 70.1450
## 315 3 53.9510 0.7200 NA 27.6800 75.2100
## 316 3 51.8340 0.8000 NA 25.7870 65.0600
## 317 3 53.0340 0.7680 NA 27.1070 70.1450
## 318 3 53.9510 0.7200 NA 27.6800 75.2100
## 319 3 52.9400 0.7630 NA 26.8570 70.1300
## 320 3 52.9400 0.7630 NA 26.8570 70.1300
## 321 4 46.2850 0.7950 NA 5.9600 58.8500
## 322 4 48.0300 0.8550 NA 13.3250 55.9500
## 323 4 46.2150 0.8150 NA 10.3100 56.6000
## 324 4 48.3250 0.7900 NA 11.1750 61.7000
## 325 4 46.5100 0.7500 NA 8.1600 62.3500
## 326 4 48.2550 0.8100 NA 15.5250 59.4500
## 327 4 47.5470 0.8130 NA 10.5300 58.8330
## 328 4 46.3370 0.7870 NA 8.1430 59.2670
## 329 4 47.5000 0.8270 NA 13.0500 57.3330
## 330 4 47.6970 0.7830 NA 11.6200 61.1600
## 331 4 47.2700 0.8025 NA 10.7425 59.1500
## 332 4 46.2850 0.7950 NA 5.9600 58.8500
## 333 4 48.0300 0.8550 NA 13.3250 55.9500
## 334 4 46.2150 0.8150 NA 10.3100 56.6000
## 335 4 48.3250 0.7900 NA 11.1750 61.7000
## 336 4 46.5100 0.7500 NA 8.1600 62.3500
## 337 4 48.2550 0.8100 NA 15.5250 59.4500
## 338 4 47.5470 0.8130 NA 10.5300 58.8330
## 339 4 46.3370 0.7870 NA 8.1430 59.2670
## 340 4 47.5000 0.8270 NA 13.0500 57.3330
## 341 4 47.6970 0.7830 NA 11.6200 61.1600
## 342 4 47.2700 0.8025 NA 10.7425 59.1500
## 343 3 40.9500 1.9300 0.0580 24.5000 21.2000
## 344 3 43.1300 2.1900 0.0610 20.8000 19.7000
## 345 3 40.2700 2.4900 0.0770 22.4000 16.2000
## 346 3 41.4500 2.2000 0.0650 22.6000 18.9000
## 347 4 45.0000 1.1400 0.0900 NA 39.3000
## 348 4 45.0000 1.1400 0.0900 NA 39.3000
## 349 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 350 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 351 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 352 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 353 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 354 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 355 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 356 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 357 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 358 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 359 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 360 6 46.9030 0.4470 0.0355 42.0990 110.9000
## 361 15 46.9980 1.3485 0.1150 NA 35.3700
## 362 15 45.7100 1.0730 0.0715 NA 43.7450
## 363 15 41.9330 1.1435 0.0965 NA 39.2950
## 364 15 44.8800 1.1880 0.0943 NA 39.4700
## 365 15 46.9980 1.3485 0.1150 NA 35.3700
## 366 15 45.7100 1.0730 0.0715 NA 43.7450
## 367 15 41.9330 1.1435 0.0965 NA 39.2950
## 368 15 44.8800 1.1880 0.0943 NA 39.4700
## 369 15 46.9980 1.3485 0.1150 NA 35.3700
## 370 15 45.7100 1.0730 0.0715 NA 43.7450
## 371 15 41.9330 1.1435 0.0965 NA 39.2950
## 372 15 44.8800 1.1880 0.0943 NA 39.4700
## 373 3 51.2800 1.0700 0.2100 NA 63.1300
## 374 3 51.2800 1.0700 0.2100 NA 63.1300
## 375 3 51.2800 1.0700 0.2100 NA 63.1300
## 376 3 51.2800 1.0700 0.2100 NA 63.1300
## 377 3 47.6300 1.0600 0.2900 NA 50.0900
## 378 3 47.6300 1.0600 0.2900 NA 50.0900
## 379 3 47.6300 1.0600 0.2900 NA 50.0900
## 380 3 47.6300 1.0600 0.2900 NA 50.0900
## 381 3 54.1500 1.1400 0.1400 NA 66.5400
## 382 3 54.1500 1.1400 0.1400 NA 66.5400
## 383 3 54.1500 1.1400 0.1400 NA 66.5400
## 384 3 51.8000 1.0200 0.1100 NA 94.6100
## 385 3 51.8000 1.0200 0.1100 NA 94.6100
## 386 3 51.8000 1.0200 0.1100 NA 94.6100
## 387 3 51.8000 1.0200 0.1100 NA 94.6100
## 388 3 52.2700 1.2900 0.1500 NA 48.5300
## 389 3 52.2700 1.2900 0.1500 NA 48.5300
## 390 3 52.2700 1.2900 0.1500 NA 48.5300
## 391 3 52.2700 1.2900 0.1500 NA 48.5300
## 392 3 48.8400 1.4500 0.2200 NA 36.7100
## 393 3 48.8400 1.4500 0.2200 NA 36.7100
## 394 3 48.8400 1.4500 0.2200 NA 36.7100
## 395 3 48.8400 1.4500 0.2200 NA 36.7100
## 396 3 53.7700 0.4800 0.0800 NA 128.1400
## 397 3 53.7700 0.4800 0.0800 NA 128.1400
## 398 3 53.7700 0.4800 0.0800 NA 128.1400
## 399 3 53.7700 0.4800 0.0800 NA 128.1400
## 400 3 57.9400 0.6700 0.1300 NA 94.0300
## 401 3 57.9400 0.6700 0.1300 NA 94.0300
## 402 3 57.9400 0.6700 0.1300 NA 94.0300
## 403 3 55.5900 0.5500 0.1000 NA 122.1000
## 404 3 55.5900 0.5500 0.1000 NA 122.1000
## 405 3 55.5900 0.5500 0.1000 NA 122.1000
## 406 3 55.5900 0.5500 0.1000 NA 122.1000
## 407 3 50.3700 0.5800 0.1100 NA 110.7700
## 408 3 50.3700 0.5800 0.1100 NA 110.7700
## 409 3 50.3700 0.5800 0.1100 NA 110.7700
## 410 3 50.3700 0.5800 0.1100 NA 110.7700
## 411 3 51.8800 0.6200 0.0900 NA 110.1400
## 412 3 51.8800 0.6200 0.0900 NA 110.1400
## 413 3 51.8800 0.6200 0.0900 NA 110.1400
## 414 3 51.8800 0.6200 0.0900 NA 110.1400
## 415 3 47.2900 1.1400 0.1900 NA 49.2100
## 416 3 47.2900 1.1400 0.1900 NA 49.2100
## 417 3 47.2900 1.1400 0.1900 NA 49.2100
## 418 3 47.2900 1.1400 0.1900 NA 49.2100
## 419 3 54.5500 0.7800 0.1600 NA 76.6600
## 420 3 54.5500 0.7800 0.1600 NA 76.6600
## 421 3 54.5500 0.7800 0.1600 NA 76.6600
## 422 3 54.5500 0.7800 0.1600 NA 76.6600
## 423 3 56.5000 1.0300 0.1600 NA 65.8200
## 424 3 56.5000 1.0300 0.1600 NA 65.8200
## 425 3 56.5000 1.0300 0.1600 NA 65.8200
## 426 3 56.0500 0.8200 0.1400 NA 76.0200
## 427 3 56.0500 0.8200 0.1400 NA 76.0200
## 428 3 56.0500 0.8200 0.1400 NA 76.0200
## 429 3 52.6300 0.9800 0.2100 NA 64.2000
## 430 3 52.6300 0.9800 0.2100 NA 64.2000
## 431 3 52.6300 0.9800 0.2100 NA 64.2000
## 432 3 52.6300 0.9800 0.2100 NA 64.2000
## 433 3 53.1700 1.3900 0.2100 NA 48.8400
## 434 3 53.1700 1.3900 0.2100 NA 48.8400
## 435 3 53.1700 1.3900 0.2100 NA 48.8400
## 436 3 53.1700 1.3900 0.2100 NA 48.8400
## 437 3 55.1200 1.6400 0.2100 NA 38.0000
## 438 3 55.1200 1.6400 0.2100 NA 38.0000
## 439 3 55.1200 1.6400 0.2100 NA 38.0000
## 440 3 55.1200 1.6400 0.2100 NA 38.0000
## 441 3 52.7900 1.1100 0.1500 NA 53.8600
## 442 3 52.7900 1.1100 0.1500 NA 53.8600
## 443 3 52.7900 1.1100 0.1500 NA 53.8600
## 444 3 54.6700 1.4300 0.1900 NA 48.2000
## 445 3 54.6700 1.4300 0.1900 NA 48.2000
## 446 3 54.6700 1.4300 0.1900 NA 48.2000
## 447 3 51.2500 1.5900 0.2600 NA 36.3800
## 448 3 51.2500 1.5900 0.2600 NA 36.3800
## 449 3 51.2500 1.5900 0.2600 NA 36.3800
## 450 3 51.2500 1.5900 0.2600 NA 36.3800
## 451 3 49.2400 1.4000 0.1900 NA 38.3700
## 452 3 49.2400 1.4000 0.1900 NA 38.3700
## 453 3 49.2400 1.4000 0.1900 NA 38.3700
## 454 3 49.2400 1.4000 0.1900 NA 38.3700
## 455 3 54.7500 1.1800 0.1800 NA 63.0900
## 456 3 54.7500 1.1800 0.1800 NA 63.0900
## 457 3 54.7500 1.1800 0.1800 NA 63.0900
## 458 3 54.7500 1.1800 0.1800 NA 63.0900
## 459 3 56.7100 0.6400 0.1500 NA 96.6300
## 460 3 56.7100 0.6400 0.1500 NA 96.6300
## 461 3 56.7100 0.6400 0.1500 NA 96.6300
## 462 3 56.7100 0.6400 0.1500 NA 96.6300
## 463 3 51.4000 0.9400 0.2300 NA 66.8000
## 464 3 51.4000 0.9400 0.2300 NA 66.8000
## 465 3 51.4000 0.9400 0.2300 NA 66.8000
## 466 3 51.4000 0.9400 0.2300 NA 66.8000
## 467 3 51.4000 0.9400 0.2300 NA 66.8000
## 468 3 51.4000 0.9400 0.2300 NA 66.8000
## 469 3 51.4000 0.9400 0.2300 NA 66.8000
## 470 3 51.4000 0.9400 0.2300 NA 66.8000
## 471 3 51.4000 0.9400 0.2300 NA 66.8000
## 472 3 51.4000 0.9400 0.2300 NA 66.8000
## 473 3 51.4000 0.9400 0.2300 NA 66.8000
## 474 3 51.4000 0.9400 0.2300 NA 66.8000
## 475 3 51.4000 0.9400 0.2300 NA 66.8000
## 476 3 51.4000 0.9400 0.2300 NA 66.8000
## 477 3 51.4000 0.9400 0.2300 NA 66.8000
## 478 3 51.4000 0.9400 0.2300 NA 66.8000
## 479 3 53.6600 1.2900 0.2000 NA 53.7700
## 480 3 53.6600 1.2900 0.2000 NA 54.7700
## 481 3 53.6600 1.2900 0.2000 NA 55.7700
## 482 3 53.6600 1.2900 0.2000 NA 56.7700
## 483 3 53.6600 1.2900 0.2000 NA 57.7700
## 484 3 53.6600 1.2900 0.2000 NA 58.7700
## 485 3 53.6600 1.2900 0.2000 NA 59.7700
## 486 3 53.6600 1.2900 0.2000 NA 60.7700
## 487 3 53.6600 1.2900 0.2000 NA 61.7700
## 488 3 53.6600 1.2900 0.2000 NA 62.7700
## 489 3 53.6600 1.2900 0.2000 NA 63.7700
## 490 3 53.6600 1.2900 0.2000 NA 64.7700
## 491 3 53.6600 1.2900 0.2000 NA 65.7700
## 492 3 53.6600 1.2900 0.2000 NA 66.7700
## 493 3 53.6600 1.2900 0.2000 NA 67.7700
## 494 3 53.6600 1.2900 0.2000 NA 68.7700
## 495 3 53.6600 1.2900 0.2000 NA 69.7700
## 496 3 53.6600 1.2900 0.2000 NA 70.7700
## 497 3 53.6600 1.2900 0.2000 NA 71.7700
## 498 3 53.6600 1.2900 0.2000 NA 72.7700
## 499 3 53.6600 1.2900 0.2000 NA 73.7700
## 500 3 53.6600 1.2900 0.2000 NA 74.7700
## 501 3 53.6600 1.2900 0.2000 NA 75.7700
## 502 3 53.6600 1.2900 0.2000 NA 75.7700
## 503 3 53.6600 1.2900 0.2000 NA 53.7700
## 504 3 53.6600 1.2900 0.2000 NA 54.7700
## 505 3 53.6600 1.2900 0.2000 NA 55.7700
## 506 3 53.6600 1.2900 0.2000 NA 56.7700
## 507 3 53.6600 1.2900 0.2000 NA 57.7700
## 508 3 53.6600 1.2900 0.2000 NA 58.7700
## 509 3 53.6600 1.2900 0.2000 NA 59.7700
## 510 3 53.6600 1.2900 0.2000 NA 60.7700
## 511 6 52.4400 1.0500 0.1800 NA 67.4300
## 512 6 52.4400 1.0500 0.1800 NA 67.4300
## 513 6 52.4400 1.0500 0.1800 NA 67.4300
## 514 6 52.4400 1.0500 0.1800 NA 67.4300
## 515 10 NA 0.8630 0.0903 NA NA
## 516 10 NA 0.8810 0.0980 NA NA
## 517 10 NA 0.8820 0.1010 NA NA
## 518 10 NA 0.8730 0.0940 NA NA
## 519 10 NA 0.8630 0.0903 NA NA
## 520 10 NA 0.8810 0.0980 NA NA
## 521 10 NA 0.8820 0.1010 NA NA
## 522 10 NA 0.8730 0.0940 NA NA
## 523 10 NA 0.8630 0.0903 NA NA
## 524 10 NA 0.8810 0.0980 NA NA
## 525 10 NA 0.8820 0.1010 NA NA
## 526 10 NA 0.8730 0.0940 NA NA
## 527 10 NA 0.8630 0.0903 NA NA
## 528 10 NA 0.8810 0.0980 NA NA
## 529 10 NA 0.8820 0.1010 NA NA
## 530 10 NA 0.8730 0.0940 NA NA
## 531 10 NA 0.8630 0.0903 NA NA
## 532 10 NA 0.8810 0.0980 NA NA
## 533 10 NA 0.8820 0.1010 NA NA
## 534 10 NA 0.8730 0.0940 NA NA
## 535 10 NA 0.8630 0.0903 NA NA
## 536 10 NA 0.8810 0.0980 NA NA
## 537 10 NA 0.8820 0.1010 NA NA
## 538 10 NA 0.8730 0.0940 NA NA
## 539 4 49.3300 0.9000 0.0500 39.0300 56.9000
## 540 4 49.3300 0.9000 0.0500 39.0300 56.9000
## 541 4 49.3300 0.9000 0.0500 39.0300 56.9000
## 542 4 51.0200 1.2700 0.0600 45.7300 43.2000
## 543 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 544 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 545 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 546 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 547 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 548 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 549 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 550 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 551 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 552 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 553 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 554 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 555 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 556 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 557 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 558 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 559 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 560 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 561 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 562 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 563 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 564 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 565 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 566 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 567 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 568 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 569 4 49.4900 0.9100 0.0600 33.3200 54.6000
## 570 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 571 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 572 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 573 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 574 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 575 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 576 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 577 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 578 4 50.8000 0.8500 0.0700 36.4100 60.2000
## 579 4 48.5000 0.6730 0.1260 30.4300 136.3300
## 580 4 44.1670 1.2070 0.0920 27.8000 38.0000
## 581 7 49.6000 1.2700 0.0390 NA NA
## 582 7 49.6000 1.2700 0.0390 NA NA
## 583 7 49.6000 1.2700 0.0390 NA NA
## 584 7 49.6000 1.2700 0.0390 NA NA
## 585 7 49.6000 1.2700 0.0390 NA NA
## 586 5 NA 1.7950 0.4800 22.9000 28.5000
## 587 5 NA 1.7900 0.5000 22.5000 28.5500
## 588 5 NA 1.6250 0.3300 20.2000 30.4500
## 589 5 NA 1.9400 0.4000 19.2000 26.0500
## 590 5 NA 2.1200 0.3350 16.4500 23.5500
## 591 5 NA 1.8600 0.3800 20.3000 27.4700
## 592 5 NA 1.7470 0.2800 18.5000 28.7670
## 593 5 NA 1.9467 0.4830 21.2000 26.2330
## 594 5 NA 1.9430 0.4970 29.3300 26.2670
## 595 5 NA 1.9530 0.3400 17.5660 25.8670
## 596 5 NA 1.8000 0.3725 20.1750 28.2250
## 597 5 NA 1.9580 0.4075 19.6750 26.0250
## 598 5 NA 1.8650 0.4900 20.8500 27.3000
## 599 5 NA 1.9550 0.4175 19.4750 26.0600
## 600 5 NA 1.8725 0.3725 18.3250 27.0000
## 601 3 50.3900 1.6250 NA NA 31.2000
## 602 5 NA NA NA NA NA
## 603 5 NA NA NA NA NA
## 604 5 NA NA NA NA NA
## 605 5 NA NA NA NA NA
## 606 5 NA NA NA NA NA
## 607 5 NA NA NA NA NA
## 608 5 NA NA NA NA NA
## 609 5 NA NA NA NA NA
## 610 5 NA NA NA NA NA
## 611 5 NA NA NA NA NA
## 612 5 NA NA NA NA NA
## 613 5 NA NA NA NA NA
## 614 5 NA NA NA NA NA
## 615 5 NA NA NA NA NA
## 616 5 NA NA NA NA NA
## 617 5 NA NA NA NA NA
## 618 5 NA NA NA NA NA
## 619 5 NA NA NA NA NA
## 620 5 NA NA NA NA NA
## 621 5 NA NA NA NA NA
## 622 5 NA NA NA NA NA
## 623 5 NA NA NA NA NA
## 624 5 NA NA NA NA NA
## 625 5 NA NA NA NA NA
## 626 5 NA NA NA NA NA
## 627 5 NA NA NA NA NA
## 628 5 NA NA NA NA NA
## 629 5 NA NA NA NA NA
## 630 5 NA NA NA NA NA
## 631 5 NA NA NA NA NA
## 632 5 NA NA NA NA NA
## 633 5 NA NA NA NA NA
## 634 5 NA NA NA NA NA
## 635 5 NA NA NA NA NA
## 636 5 NA NA NA NA NA
## 637 5 NA NA NA NA NA
## 638 5 NA NA NA NA NA
## 639 5 NA NA NA NA NA
## 640 5 NA NA NA NA NA
## 641 5 NA NA NA NA NA
## 642 5 NA NA NA NA NA
## 643 5 NA NA NA NA NA
## 644 5 NA NA NA NA NA
## 645 5 NA NA NA NA NA
## 646 5 NA NA NA NA NA
## 647 5 NA NA NA NA NA
## 648 5 NA NA NA NA NA
## 649 5 NA NA NA NA NA
## 650 4 NA NA 0.0750 NA 57.3450
## 651 4 NA NA 0.0750 NA 57.3450
## 652 4 NA NA 0.0750 NA 57.3450
## 653 4 NA NA 0.0750 NA 57.3450
## 654 4 NA NA 0.0750 NA 57.3450
## 655 4 NA NA 0.0750 NA 57.3450
## 656 4 NA NA 0.0750 NA 57.3450
## 657 4 NA NA 0.0750 NA 57.3450
## 658 4 NA NA 0.0750 NA 57.3450
## 659 4 NA NA 0.0750 NA 57.3450
## 660 4 NA NA 0.0750 NA 57.3450
## 661 4 NA NA 0.0750 NA 57.3450
## 662 4 NA NA 0.0750 NA 57.3450
## 663 4 NA NA 0.0750 NA 57.3450
## 664 4 NA NA 0.0750 NA 57.3450
## 665 4 NA 1.1660 0.1430 NA 36.3550
## 666 4 NA 1.1660 0.1430 NA 36.3550
## 667 4 NA 1.1660 0.1430 NA 36.3550
## 668 4 NA 1.1660 0.1430 NA 36.3550
## 669 4 NA 1.1660 0.1430 NA 36.3550
## 670 3 40.1150 1.1500 0.0900 8.7450 35.0300
## 671 3 33.6900 0.9450 0.0870 8.0150 34.0850
## 672 3 40.4500 1.2000 0.1260 8.6300 34.1400
## 673 3 32.5150 0.9650 0.0710 6.3300 33.9450
## 674 3 39.2750 1.2200 0.1100 6.9450 32.5000
## 675 3 32.8500 1.0150 0.1070 6.2150 33.0550
## 676 3 35.6600 1.0530 0.1066 7.6200 34.2600
## 677 3 39.9500 1.1900 0.1087 8.1200 33.8900
## 678 3 35.4400 1.0200 0.0820 7.7000 34.8500
## 679 3 34.8800 1.0670 0.0960 6.5000 33.1670
## 680 4 36.4825 1.0825 0.0985 7.4800 34.0425
## 681 3 49.7170 2.6610 0.1490 23.3400 NA
## 682 3 49.7170 2.6610 0.1490 23.3400 NA
## 683 3 49.7170 2.6610 0.1490 23.3400 NA
## 684 3 49.7170 2.6610 0.1490 23.3400 NA
## 685 3 49.7170 2.6610 0.1490 23.3400 NA
## 686 3 49.7170 2.6610 0.1490 23.3400 NA
## 687 3 NA 0.5240 0.0510 NA NA
## 688 3 NA 0.1370 0.0540 NA NA
## 689 3 NA 0.3500 0.0570 NA NA
## 690 3 NA 0.5240 0.0510 NA NA
## 691 3 NA 0.1370 0.0540 NA NA
## 692 3 NA 0.3500 0.0570 NA NA
## 693 3 NA 0.5240 0.0510 NA NA
## 694 3 NA 0.1370 0.0540 NA NA
## 695 3 NA 0.3500 0.0570 NA NA
## 696 3 NA 0.5240 0.0510 NA NA
## 697 3 NA 0.1370 0.0540 NA NA
## 698 3 NA 0.3500 0.0570 NA NA
## 699 3 NA 0.5240 0.0510 NA NA
## 700 3 NA 0.1370 0.0540 NA NA
## 701 3 NA 0.3500 0.0570 NA NA
## 702 3 NA 0.5240 0.0510 NA NA
## 703 3 NA 0.1370 0.0540 NA NA
## 704 3 NA 0.3500 0.0570 NA NA
## 705 3 NA 0.5240 0.0510 NA NA
## 706 3 NA 0.1370 0.0540 NA NA
## 707 3 NA 0.3500 0.0570 NA NA
## 708 3 NA 0.5240 0.0510 NA NA
## 709 3 NA 0.1370 0.0540 NA NA
## 710 3 NA 0.3500 0.0570 NA NA
## 711 3 NA 0.5240 0.0510 NA NA
## 712 3 NA 0.1370 0.0540 NA NA
## 713 3 NA 0.3500 0.0570 NA NA
## 714 4 47.9000 1.0800 0.1710 NA 44.0000
## 715 4 47.9000 1.0800 0.1710 NA 44.0000
## 716 4 47.9000 1.0800 0.1710 NA 44.0000
## 717 5 41.4000 1.3500 0.2150 11.3000 NA
## 718 5 39.8500 2.1050 0.2050 12.2500 NA
## 719 5 43.6500 1.9450 0.1200 11.6500 NA
## 720 5 42.8500 0.9450 0.1700 15.6000 NA
## 721 5 42.0500 1.1950 0.2750 17.2000 NA
## 722 5 46.6500 0.7850 0.0850 15.0000 NA
## 723 5 45.8500 1.0350 0.1900 16.6000 NA
## 724 5 45.1000 1.5400 0.0750 15.9500 NA
## 725 5 44.3000 1.7900 0.1800 17.5500 NA
## 726 5 47.3000 0.6300 0.1450 20.9000 NA
## 727 5 40.1000 2.1150 0.0900 6.7000 NA
## 728 5 38.9500 2.1800 0.1900 6.3500 NA
## 729 5 37.2500 1.1550 0.1700 5.4500 NA
## 730 5 39.7500 1.7900 0.1500 5.2000 NA
## 731 5 36.9000 0.8300 0.2300 3.9500 NA
## 732 5 40.5000 1.8250 0.0800 7.6000 NA
## 733 5 38.0500 0.7650 0.1300 4.3000 NA
## 734 5 37.6500 0.8650 0.1600 6.3500 NA
## 735 5 38.8000 0.8000 0.0600 6.7000 NA
## 736 5 38.4500 0.4750 0.1200 5.2000 NA
## 737 3 NA 1.0850 NA NA 28.3450
## 738 3 NA 1.0200 NA NA 30.3450
## 739 3 NA 1.3050 NA NA 26.1600
## 740 3 NA 1.1100 NA NA 22.0400
## 741 3 NA 1.0450 NA NA 30.0400
## 742 3 NA 1.3300 NA NA 25.8550
## 743 3 NA 1.1350 NA NA 26.3400
## 744 3 NA 1.0700 NA NA 28.3400
## 745 3 NA 1.3550 NA NA 39.1550
## 746 3 NA 1.0850 NA NA 28.3450
## 747 3 NA 1.0200 NA NA 30.3450
## 748 3 NA 1.3050 NA NA 26.1600
## 749 3 NA 1.1100 NA NA 22.0400
## 750 3 NA 1.0450 NA NA 30.0400
## 751 3 NA 1.3300 NA NA 25.8550
## 752 3 NA 1.1350 NA NA 26.3400
## 753 3 NA 1.0700 NA NA 28.3400
## 754 3 NA 1.3550 NA NA 39.1550
## 755 3 NA 1.0850 NA NA 28.3450
## 756 3 NA 1.0200 NA NA 30.3450
## 757 3 NA 1.3050 NA NA 26.1600
## 758 3 NA 1.1100 NA NA 22.0400
## 759 3 NA 1.0450 NA NA 30.0400
## 760 3 NA 1.3300 NA NA 25.8550
## 761 3 NA 1.1350 NA NA 26.3400
## 762 3 NA 1.0700 NA NA 28.3400
## 763 3 NA 1.3550 NA NA 39.1550
## 764 3 NA 0.4150 NA 29.8150 124.7000
## 765 3 NA 0.4150 NA 29.8150 124.7000
## 766 3 NA 0.4240 NA 17.6200 125.8900
## 767 3 NA 0.4240 NA 17.6200 125.8900
## 768 5 42.6700 0.6380 0.0660 NA 66.8300
## 769 5 42.6700 0.6380 0.0660 NA 66.8300
## 770 5 42.6700 0.6380 0.0660 NA 66.8300
## 771 5 42.6700 0.6380 0.0660 NA 66.8300
## 772 5 42.6700 0.6380 0.0660 NA 66.8300
## 773 5 42.6700 0.6380 0.0660 NA 66.8300
## 774 5 42.6700 0.6380 0.0660 NA 66.8300
## 775 5 42.6700 0.6380 0.0660 NA 66.8300
## 776 5 42.6700 0.6380 0.0660 NA 66.8300
## 777 5 42.6700 0.6380 0.0660 NA 66.8300
## 778 8 NA 2.9400 NA NA NA
## 779 8 NA 2.9500 NA NA NA
## 780 8 NA 2.2000 NA NA NA
## 781 8 NA 2.2000 NA NA NA
## 782 8 NA 3.1900 NA NA NA
## 783 8 NA 2.4400 NA NA NA
## 784 8 NA 2.4400 NA NA NA
## 785 8 NA 2.4500 NA NA NA
## 786 8 NA 2.4500 NA NA NA
## 787 8 NA 1.7000 NA NA NA
## 788 8 NA 3.0260 NA NA NA
## 789 8 NA 2.5300 NA NA NA
## 790 8 NA 2.5300 NA NA NA
## 791 8 NA 2.5300 NA NA NA
## 792 8 NA 2.5300 NA NA NA
## 793 8 NA 2.6930 NA NA NA
## 794 8 NA 2.1930 NA NA NA
## 795 8 NA 2.2000 NA NA NA
## 796 8 NA 2.0330 NA NA NA
## 797 8 NA 2.1930 NA NA NA
## 798 8 NA 2.6950 NA NA NA
## 799 8 NA 2.6950 NA NA NA
## 800 8 NA 2.3200 NA NA NA
## 801 8 NA 2.3250 NA NA NA
## 802 8 NA 2.4450 NA NA NA
## 803 8 NA 2.4960 NA NA NA
## 804 5 46.7000 1.0700 0.1300 NA 46.7500
## 805 5 46.7000 1.0700 0.1300 NA 46.7500
## 806 5 46.7000 1.0700 0.1300 NA 46.7500
## 807 5 46.7000 1.0700 0.1300 NA 46.7500
## 808 5 46.6000 1.5200 0.0900 NA 39.2500
## 809 5 46.6000 1.5200 0.0900 NA 39.2500
## 810 5 46.6000 1.5200 0.0900 NA 39.2500
## 811 5 46.6000 1.5200 0.0900 NA 39.2500
## 812 5 46.4200 1.7500 1.0500 NA 28.9000
## 813 5 46.4200 1.7500 1.0500 NA 28.9000
## 814 5 46.4200 1.7500 1.0500 NA 28.9000
## 815 5 46.4200 1.7500 1.0500 NA 28.9000
## 816 3 51.3500 1.2500 0.0400 41.5500 41.3000
## 817 3 52.9500 1.1000 0.0300 46.8000 50.9500
## 818 3 53.8000 1.3300 0.0300 54.1500 40.5000
## 819 3 52.2000 1.0000 0.0300 37.7500 53.6500
## 820 3 53.0500 1.2300 0.0300 45.1000 43.2000
## 821 3 54.6500 1.0800 0.0200 50.3500 52.8500
## 822 3 52.1670 1.1200 0.0330 42.0330 48.6330
## 823 3 52.7300 1.2700 0.0330 46.9330 41.6700
## 824 3 53.8000 1.1700 0.0270 50.4330 48.1000
## 825 3 53.3000 1.1030 0.0270 44.4000 49.9000
## 826 3 53.0000 1.1650 0.0300 45.9500 47.0750
## 827 3 51.3500 1.2500 0.0400 41.5500 41.3000
## 828 3 52.9500 1.1000 0.0300 46.8000 50.9500
## 829 3 53.8000 1.3300 0.0300 54.1500 40.5000
## 830 3 52.2000 1.0000 0.0300 37.7500 53.6500
## 831 3 53.0500 1.2300 0.0300 45.1000 43.2000
## 832 3 54.6500 1.0800 0.0200 50.3500 52.8500
## 833 3 52.1670 1.1200 0.0330 42.0330 48.6330
## 834 3 52.7300 1.2700 0.0330 46.9330 41.6700
## 835 3 53.8000 1.1700 0.0270 50.4330 48.1000
## 836 3 53.3000 1.1030 0.0270 44.4000 49.9000
## 837 3 53.0000 1.1650 0.0300 45.9500 47.0750
## 838 3 51.3500 1.2500 0.0400 41.5500 41.3000
## 839 3 52.9500 1.1000 0.0300 46.8000 50.9500
## 840 3 53.8000 1.3300 0.0300 54.1500 40.5000
## 841 3 52.2000 1.0000 0.0300 37.7500 53.6500
## 842 3 53.0500 1.2300 0.0300 45.1000 43.2000
## 843 3 54.6500 1.0800 0.0200 50.3500 52.8500
## 844 3 52.1670 1.1200 0.0330 42.0330 48.6330
## 845 3 52.7300 1.2700 0.0330 46.9330 41.6700
## 846 3 53.8000 1.1700 0.0270 50.4330 48.1000
## 847 3 53.3000 1.1030 0.0270 44.4000 49.9000
## 848 3 53.0000 1.1650 0.0300 45.9500 47.0750
## 849 3 51.3500 1.2500 0.0400 41.5500 41.3000
## 850 3 52.9500 1.1000 0.0300 46.8000 50.9500
## 851 3 53.8000 1.3300 0.0300 54.1500 40.5000
## 852 3 52.2000 1.0000 0.0300 37.7500 53.6500
## 853 3 53.0500 1.2300 0.0300 45.1000 43.2000
## 854 3 54.6500 1.0800 0.0200 50.3500 52.8500
## 855 3 52.1670 1.1200 0.0330 42.0330 48.6330
## 856 3 52.7300 1.2700 0.0330 46.9330 41.6700
## 857 3 53.8000 1.1700 0.0270 50.4330 48.1000
## 858 3 53.3000 1.1030 0.0270 44.4000 49.9000
## 859 3 53.0000 1.1650 0.0300 45.9500 47.0750
## 860 3 42.2830 1.3490 1.2750 NA 47.4200
## 861 3 42.2830 1.3490 1.2750 NA 48.4200
## 862 3 42.2830 1.3490 1.2750 NA 49.4200
## 863 3 42.2830 1.3490 1.2750 NA 50.4200
## 864 3 42.2830 1.3490 1.2750 NA 51.4200
## 865 3 42.2830 1.3490 1.2750 NA 52.4200
## 866 3 42.2830 1.3490 1.2750 NA 53.4200
## 867 3 42.2830 1.3490 1.2750 NA 54.4200
## Lit_Lig_Nit_ratio expected_decay_k observed_decay_k initial_weight_g
## 1 NA 0.4000 0.420000 8.00
## 2 NA 0.7000 0.720000 8.00
## 3 NA 0.5700 0.610000 8.00
## 4 NA 0.4000 0.420000 8.00
## 5 NA 0.7000 0.720000 8.00
## 6 NA 0.5700 0.610000 8.00
## 7 NA 0.4000 0.420000 8.00
## 8 NA 0.7000 0.720000 8.00
## 9 NA 0.5700 0.610000 8.00
## 10 NA 0.4000 0.420000 8.00
## 11 NA 0.7000 0.720000 8.00
## 12 NA 0.5700 0.610000 8.00
## 13 NA 0.4750 0.500000 8.00
## 14 NA 0.7600 0.920000 8.00
## 15 NA 0.6400 0.750000 8.00
## 16 NA 0.4750 0.500000 8.00
## 17 NA 0.7600 0.920000 8.00
## 18 NA 0.6400 0.750000 8.00
## 19 NA 0.4750 0.500000 8.00
## 20 NA 0.7600 0.920000 8.00
## 21 NA 0.6400 0.750000 8.00
## 22 NA 0.4750 0.500000 8.00
## 23 NA 0.7600 0.920000 8.00
## 24 NA 0.6400 0.750000 8.00
## 25 33.600 NA NA 10.00
## 26 33.600 NA NA 10.00
## 27 33.600 NA NA 10.00
## 28 33.600 NA NA 10.00
## 29 33.600 NA NA 10.00
## 30 33.600 NA NA 10.00
## 31 36.200 NA NA 10.00
## 32 36.200 NA NA 10.00
## 33 36.200 NA NA 10.00
## 34 36.200 NA NA 10.00
## 35 36.200 NA NA 10.00
## 36 36.200 NA NA 10.00
## 37 35.050 NA NA 10.00
## 38 35.050 NA NA 10.00
## 39 35.050 NA NA 10.00
## 40 35.050 NA NA 10.00
## 41 35.050 NA NA 10.00
## 42 35.050 NA NA 10.00
## 43 NA 0.6400 0.653000 10.00
## 44 NA 0.6400 0.653000 10.00
## 45 NA 0.6400 0.653000 10.00
## 46 NA 0.6400 0.653000 10.00
## 47 NA 0.4865 0.357000 10.00
## 48 NA 0.4865 0.357000 10.00
## 49 NA 0.4865 0.357000 10.00
## 50 NA 0.4865 0.357000 10.00
## 51 NA 0.3785 0.383000 10.00
## 52 NA 0.3785 0.383000 10.00
## 53 NA 0.3785 0.383000 10.00
## 54 NA 0.3785 0.383000 10.00
## 55 NA 0.5913 0.509000 10.00
## 56 NA 0.5913 0.509000 10.00
## 57 NA 0.5913 0.509000 10.00
## 58 NA 0.5913 0.509000 10.00
## 59 NA NA NA 8.00
## 60 NA NA NA 8.00
## 61 NA NA NA 7.73
## 62 NA NA NA 7.72
## 63 NA NA NA 7.73
## 64 NA NA NA 7.69
## 65 NA NA NA 7.75
## 66 NA NA NA 7.71
## 67 NA NA NA 7.71
## 68 NA NA NA 7.71
## 69 NA NA NA 7.75
## 70 NA NA NA 7.75
## 71 NA NA NA 7.74
## 72 NA NA NA 7.70
## 73 NA NA NA 7.74
## 74 NA NA NA 7.72
## 75 NA NA NA 7.75
## 76 NA NA NA 7.74
## 77 NA NA NA 7.73
## 78 NA NA NA 7.67
## 79 NA NA NA 7.75
## 80 NA NA NA 7.71
## 81 NA NA NA 7.72
## 82 NA NA NA 7.72
## 83 NA NA NA 7.75
## 84 NA NA NA 7.79
## 85 NA NA NA 7.76
## 86 NA NA NA 7.70
## 87 NA NA NA 7.73
## 88 NA NA NA 7.77
## 89 NA 0.3250 0.400000 10.00
## 90 NA 0.3250 0.400000 10.00
## 91 NA 0.3250 0.400000 10.00
## 92 NA NA NA 4.30
## 93 NA NA NA 4.30
## 94 NA NA NA 4.30
## 95 NA NA NA 4.30
## 96 NA NA NA 4.30
## 97 NA NA NA 4.30
## 98 NA NA NA 8.00
## 99 NA NA NA 8.00
## 100 NA NA NA 8.00
## 101 NA NA NA 8.00
## 102 NA NA NA 8.00
## 103 NA NA NA 8.00
## 104 NA NA NA 8.00
## 105 NA NA NA 8.00
## 106 NA NA NA 8.00
## 107 NA NA NA 8.00
## 108 NA NA NA 8.00
## 109 NA NA NA 8.00
## 110 NA NA NA 8.00
## 111 NA NA NA 8.00
## 112 NA NA NA 8.00
## 113 NA NA NA 8.00
## 114 NA NA NA 8.00
## 115 NA NA NA 8.00
## 116 NA NA NA 8.00
## 117 NA NA NA 8.00
## 118 NA NA NA 8.00
## 119 NA NA NA 8.00
## 120 NA NA NA 8.00
## 121 NA NA NA 8.00
## 122 5.740 3.2800 2.340000 2.00
## 123 5.740 3.2800 2.340000 2.00
## 124 5.740 3.2800 2.340000 2.00
## 125 5.740 3.2800 2.340000 2.00
## 126 5.740 3.2800 2.340000 2.00
## 127 5.740 3.2800 2.980000 2.00
## 128 5.740 3.2800 2.980000 2.00
## 129 5.740 3.2800 2.980000 2.00
## 130 5.740 3.2800 2.980000 2.00
## 131 5.740 3.2800 2.980000 2.00
## 132 5.740 3.2800 5.430000 2.00
## 133 5.740 3.2800 5.430000 2.00
## 134 5.740 3.2800 5.430000 2.00
## 135 5.740 3.2800 5.430000 2.00
## 136 5.740 3.2800 5.430000 2.00
## 137 NA 0.6170 0.585000 3.00
## 138 NA 0.3840 0.397000 3.00
## 139 NA 0.5060 0.448000 3.00
## 140 NA NA NA 10.00
## 141 NA NA NA 10.00
## 142 NA NA NA 10.00
## 143 NA NA NA 10.00
## 144 NA NA NA 10.00
## 145 NA NA NA 10.00
## 146 NA NA NA 10.00
## 147 NA NA NA 10.00
## 148 NA NA NA 10.00
## 149 NA NA NA 10.00
## 150 NA NA NA 10.00
## 151 NA NA NA 10.00
## 152 NA NA NA 1.00
## 153 NA NA NA 1.00
## 154 NA NA NA 1.00
## 155 NA NA NA 1.00
## 156 NA NA NA 1.00
## 157 NA NA NA 1.00
## 158 NA NA NA 1.00
## 159 NA NA NA 1.00
## 160 NA NA NA 1.00
## 161 NA NA NA 1.00
## 162 NA NA NA 1.00
## 163 NA NA NA 1.00
## 164 NA NA NA 1.00
## 165 NA NA NA 1.00
## 166 NA NA NA 1.00
## 167 NA NA NA 1.00
## 168 NA NA NA 1.00
## 169 NA NA NA 1.00
## 170 NA NA NA 1.00
## 171 NA NA NA 1.00
## 172 NA NA NA 1.00
## 173 NA NA NA 1.00
## 174 NA NA NA 1.00
## 175 NA NA NA 1.00
## 176 44.250 NA NA 6.00
## 177 44.250 NA NA 6.00
## 178 44.250 NA NA 6.00
## 179 44.250 NA NA 6.00
## 180 44.250 NA NA 6.00
## 181 44.250 NA NA 6.00
## 182 44.250 NA NA 6.00
## 183 44.250 NA NA 6.00
## 184 NA 0.0800 0.079000 4.00
## 185 NA 0.0590 0.055000 4.00
## 186 NA 0.0430 0.043000 4.00
## 187 NA 0.0660 0.069000 4.00
## 188 NA 0.0520 0.057000 4.00
## 189 NA 0.0400 0.035000 4.00
## 190 30.870 0.2500 0.280000 4.00
## 191 30.870 0.2900 0.270000 4.00
## 192 30.870 0.3000 0.300000 4.00
## 193 30.870 0.2800 0.290000 4.00
## 194 NA NA NA 15.00
## 195 NA NA NA 15.00
## 196 NA NA NA 15.00
## 197 NA NA NA 15.00
## 198 NA NA NA 15.00
## 199 NA NA NA 15.00
## 200 NA NA NA 10.00
## 201 NA NA NA 10.00
## 202 NA NA NA 10.00
## 203 NA NA NA 10.00
## 204 NA NA NA 10.00
## 205 NA NA NA 10.00
## 206 NA NA NA 10.00
## 207 NA NA NA 10.00
## 208 NA NA NA 10.00
## 209 NA NA NA 10.00
## 210 NA 0.0455 0.036000 10.00
## 211 NA 0.0695 0.056000 10.00
## 212 NA 0.1050 0.092000 10.00
## 213 NA 0.0415 0.030000 10.00
## 214 NA 0.0525 0.044000 10.00
## 215 NA 0.0700 0.060000 10.00
## 216 NA 2.6400 2.970000 10.00
## 217 NA 1.7600 1.820000 10.00
## 218 NA 2.4200 2.490000 10.00
## 219 NA 2.5400 2.550000 10.00
## 220 NA 1.7900 1.520000 10.00
## 221 NA 2.2300 2.310000 10.00
## 222 30.870 0.3070 0.322330 2.00
## 223 30.870 0.2430 0.180650 2.00
## 224 30.870 0.3270 0.249350 2.00
## 225 30.870 0.2650 0.249350 2.00
## 226 NA NA NA 20.00
## 227 NA NA NA 20.00
## 228 NA NA NA 20.00
## 229 NA NA NA 20.00
## 230 NA NA NA 20.00
## 231 NA NA NA 20.00
## 232 NA NA NA 20.00
## 233 NA NA NA 20.00
## 234 NA NA NA 20.00
## 235 NA NA NA 20.00
## 236 NA NA NA 20.00
## 237 NA NA NA 20.00
## 238 NA NA NA 20.00
## 239 NA NA NA 20.00
## 240 NA NA NA 20.00
## 241 NA NA NA 20.00
## 242 NA NA NA 20.00
## 243 NA NA NA 20.00
## 244 NA NA NA 20.00
## 245 NA NA NA 20.00
## 246 NA NA NA 20.00
## 247 NA NA NA 20.00
## 248 NA NA NA 20.00
## 249 NA NA NA 20.00
## 250 NA NA NA 20.00
## 251 NA NA NA 20.00
## 252 NA NA NA 20.00
## 253 NA NA NA 20.00
## 254 NA NA NA 20.00
## 255 NA NA NA 20.00
## 256 NA NA NA 20.00
## 257 NA NA NA 20.00
## 258 NA NA NA 20.00
## 259 14.270 NA NA 23.00
## 260 14.270 NA NA 23.00
## 261 14.270 NA NA 23.00
## 262 14.270 NA NA 23.00
## 263 14.270 NA NA 23.00
## 264 NA NA NA 10.00
## 265 NA NA NA 10.00
## 266 NA NA NA 10.00
## 267 NA NA NA 10.00
## 268 NA NA NA 10.00
## 269 NA NA NA 10.00
## 270 NA NA NA 10.00
## 271 NA NA NA 10.00
## 272 NA NA NA 10.00
## 273 NA NA NA 10.00
## 274 NA NA NA 10.00
## 275 NA NA NA 10.00
## 276 NA NA NA 10.00
## 277 NA NA NA 10.00
## 278 NA NA NA 10.00
## 279 NA NA NA 10.00
## 280 NA NA NA 10.00
## 281 NA NA NA 10.00
## 282 NA NA NA 10.00
## 283 NA NA NA 10.00
## 284 NA NA NA 10.00
## 285 NA NA NA 10.00
## 286 NA NA NA 10.00
## 287 NA NA NA 10.00
## 288 NA NA NA 10.00
## 289 NA NA NA 10.00
## 290 NA NA NA 10.00
## 291 NA NA NA 10.00
## 292 NA NA NA 10.00
## 293 NA NA NA 10.00
## 294 NA NA NA 10.00
## 295 NA NA NA 10.00
## 296 NA NA NA 10.00
## 297 NA NA NA 10.00
## 298 NA NA NA 10.00
## 299 NA NA NA 10.00
## 300 NA NA NA 10.00
## 301 NA NA NA 10.00
## 302 NA NA NA 10.00
## 303 NA NA NA 10.00
## 304 NA NA NA 10.00
## 305 NA NA NA 10.00
## 306 NA NA NA 10.00
## 307 20.250 NA NA 10.00
## 308 16.650 NA NA 6.00
## 309 11.100 NA NA 6.00
## 310 20.250 NA NA 10.00
## 311 16.650 NA NA 6.00
## 312 11.100 NA NA 6.00
## 313 32.375 NA NA 10.00
## 314 35.955 NA NA 10.00
## 315 38.630 NA NA 10.00
## 316 32.375 NA NA 10.00
## 317 35.955 NA NA 10.00
## 318 38.630 NA NA 10.00
## 319 35.667 NA NA 10.00
## 320 35.667 NA NA 10.00
## 321 7.400 NA NA 10.00
## 322 15.500 NA NA 10.00
## 323 12.800 NA NA 10.00
## 324 13.550 NA NA 10.00
## 325 10.800 NA NA 10.00
## 326 18.950 NA NA 10.00
## 327 12.167 NA NA 10.00
## 328 10.330 NA NA 10.00
## 329 15.767 NA NA 10.00
## 330 14.433 NA NA 10.00
## 331 13.175 NA NA 10.00
## 332 7.400 NA NA 10.00
## 333 15.500 NA NA 10.00
## 334 12.800 NA NA 10.00
## 335 13.550 NA NA 10.00
## 336 10.800 NA NA 10.00
## 337 18.950 NA NA 10.00
## 338 12.167 NA NA 10.00
## 339 10.330 NA NA 10.00
## 340 15.767 NA NA 10.00
## 341 14.433 NA NA 10.00
## 342 13.175 NA NA 10.00
## 343 12.700 0.7340 0.822000 15.00
## 344 9.500 0.8230 0.952000 15.00
## 345 9.000 0.8470 0.949000 15.00
## 346 10.300 0.8010 0.936000 15.00
## 347 NA NA NA 10.00
## 348 NA NA NA 10.00
## 349 101.185 NA NA 5.00
## 350 101.185 NA NA 5.00
## 351 101.185 NA NA 5.00
## 352 101.185 NA NA 5.00
## 353 101.185 NA NA 5.00
## 354 101.185 NA NA 5.00
## 355 101.185 NA NA 5.00
## 356 101.185 NA NA 5.00
## 357 101.185 NA NA 5.00
## 358 101.185 NA NA 5.00
## 359 101.185 NA NA 5.00
## 360 101.185 NA NA 5.00
## 361 20.060 0.4100 0.430000 10.00
## 362 21.760 0.6800 0.630000 10.00
## 363 10.280 0.8400 0.690000 10.00
## 364 11.883 0.6430 0.580000 10.00
## 365 20.060 0.2800 0.380000 10.00
## 366 21.760 0.4000 0.410000 10.00
## 367 10.280 0.4650 0.690000 10.00
## 368 11.883 0.3700 0.490000 10.00
## 369 20.060 0.1400 0.110000 10.00
## 370 21.760 0.1300 0.060000 10.00
## 371 10.280 0.1900 0.220000 10.00
## 372 11.883 0.1500 0.150000 10.00
## 373 NA 5.6000 4.519000 2.50
## 374 NA 5.6000 4.519000 2.50
## 375 NA 5.6000 4.519000 2.50
## 376 NA 5.6000 4.519000 2.50
## 377 NA 2.3500 2.317000 2.50
## 378 NA 2.3500 2.317000 2.50
## 379 NA 2.3500 2.317000 2.50
## 380 NA 2.3500 2.317000 2.50
## 381 NA 1.6750 3.243000 2.50
## 382 NA 1.6750 3.243000 2.50
## 383 NA 1.6750 3.243000 2.50
## 384 NA 1.5500 4.086000 2.50
## 385 NA 1.5500 4.086000 2.50
## 386 NA 1.5500 4.086000 2.50
## 387 NA 1.5500 4.086000 2.50
## 388 NA 1.4850 4.311000 2.50
## 389 NA 1.4850 4.311000 2.50
## 390 NA 1.4850 4.311000 2.50
## 391 NA 1.4850 4.311000 2.50
## 392 NA 1.5500 2.000000 2.50
## 393 NA 1.5500 2.000000 2.50
## 394 NA 1.5500 2.000000 2.50
## 395 NA 1.5500 2.000000 2.50
## 396 NA 0.5250 1.997000 2.50
## 397 NA 0.5250 1.997000 2.50
## 398 NA 0.5250 1.997000 2.50
## 399 NA 0.5250 1.997000 2.50
## 400 NA 1.0750 0.280000 2.50
## 401 NA 1.0750 0.280000 2.50
## 402 NA 1.0750 0.280000 2.50
## 403 NA 0.9500 0.280300 2.50
## 404 NA 0.9500 0.280300 2.50
## 405 NA 0.9500 0.280300 2.50
## 406 NA 0.9500 0.280300 2.50
## 407 NA 1.3000 2.934000 2.50
## 408 NA 1.3000 2.934000 2.50
## 409 NA 1.3000 2.934000 2.50
## 410 NA 1.3000 2.934000 2.50
## 411 NA 0.3350 6.995000 2.50
## 412 NA 0.3350 6.995000 2.50
## 413 NA 0.3350 6.995000 2.50
## 414 NA 0.3350 6.995000 2.50
## 415 NA 4.1500 2.403000 2.50
## 416 NA 4.1500 2.403000 2.50
## 417 NA 4.1500 2.403000 2.50
## 418 NA 4.1500 2.403000 2.50
## 419 NA 1.8500 0.252000 2.50
## 420 NA 1.8500 0.252000 2.50
## 421 NA 1.8500 0.252000 2.50
## 422 NA 1.8500 0.252000 2.50
## 423 NA 2.0000 1.974000 2.50
## 424 NA 2.0000 1.974000 2.50
## 425 NA 2.0000 1.974000 2.50
## 426 NA 0.8850 3.221000 2.50
## 427 NA 0.8850 3.221000 2.50
## 428 NA 0.8850 3.221000 2.50
## 429 NA 1.6500 2.591000 2.50
## 430 NA 1.6500 2.591000 2.50
## 431 NA 1.6500 2.591000 2.50
## 432 NA 1.6500 2.591000 2.50
## 433 NA 1.3000 3.804000 2.50
## 434 NA 1.3000 3.804000 2.50
## 435 NA 1.3000 3.804000 2.50
## 436 NA 1.3000 3.804000 2.50
## 437 NA 1.4500 2.578100 2.50
## 438 NA 1.4500 2.578100 2.50
## 439 NA 1.4500 2.578100 2.50
## 440 NA 1.4500 2.578100 2.50
## 441 NA 1.3850 3.143000 2.50
## 442 NA 1.3850 3.143000 2.50
## 443 NA 1.3850 3.143000 2.50
## 444 NA 0.3350 1.548000 2.50
## 445 NA 0.3350 1.548000 2.50
## 446 NA 0.3350 1.548000 2.50
## 447 NA 1.1000 1.981000 2.50
## 448 NA 1.1000 1.981000 2.50
## 449 NA 1.1000 1.981000 2.50
## 450 NA 1.1000 1.981000 2.50
## 451 NA 4.3000 5.956000 2.50
## 452 NA 4.3000 5.956000 2.50
## 453 NA 4.3000 5.956000 2.50
## 454 NA 4.3000 5.956000 2.50
## 455 NA 3.9000 2.804000 2.50
## 456 NA 3.9000 2.804000 2.50
## 457 NA 3.9000 2.804000 2.50
## 458 NA 3.9000 2.804000 2.50
## 459 NA 2.8750 2.950000 2.50
## 460 NA 2.8750 2.950000 2.50
## 461 NA 2.8750 2.950000 2.50
## 462 NA 2.8750 2.950000 2.50
## 463 NA 3.4500 2.936000 2.50
## 464 NA 3.4500 2.936000 2.50
## 465 NA 3.4500 2.936000 2.50
## 466 NA 3.4500 2.936000 2.50
## 467 NA 3.4500 2.936000 2.50
## 468 NA 3.4500 2.936000 2.50
## 469 NA 3.4500 2.936000 2.50
## 470 NA 3.4500 2.936000 2.50
## 471 NA 3.4500 2.936000 2.50
## 472 NA 3.4500 2.936000 2.50
## 473 NA 3.4500 2.936000 2.50
## 474 NA 3.4500 2.936000 2.50
## 475 NA 3.4500 2.936000 2.50
## 476 NA 3.4500 2.936000 2.50
## 477 NA 3.4500 2.936000 2.50
## 478 NA 3.4500 2.936000 2.50
## 479 NA 1.8300 4.365000 2.50
## 480 NA 1.8300 4.365000 2.50
## 481 NA 1.8300 4.365000 2.50
## 482 NA 1.8300 4.365000 2.50
## 483 NA 1.8300 4.365000 2.50
## 484 NA 1.8300 4.365000 2.50
## 485 NA 1.8300 4.365000 2.50
## 486 NA 1.8300 4.365000 2.50
## 487 NA 1.8300 4.365000 2.50
## 488 NA 1.8300 4.365000 2.50
## 489 NA 1.8300 4.365000 2.50
## 490 NA 1.8300 4.365000 2.50
## 491 NA 1.8300 4.365000 2.50
## 492 NA 1.8300 4.365000 2.50
## 493 NA 1.8300 4.365000 2.50
## 494 NA 1.8300 4.365000 2.50
## 495 NA 1.8300 4.365000 2.50
## 496 NA 1.8300 4.365000 2.50
## 497 NA 1.8300 4.365000 2.50
## 498 NA 1.8300 4.365000 2.50
## 499 NA 1.8300 4.365000 2.50
## 500 NA 1.8300 4.365000 2.50
## 501 NA 1.8300 4.365000 2.50
## 502 NA 1.8300 4.365000 2.50
## 503 NA 1.8300 4.365000 2.50
## 504 NA 1.8300 4.365000 2.50
## 505 NA 1.8300 4.365000 2.50
## 506 NA 1.8300 4.365000 2.50
## 507 NA 1.8300 4.365000 2.50
## 508 NA 1.8300 4.365000 2.50
## 509 NA 1.8300 4.365000 2.50
## 510 NA 1.8300 4.365000 2.50
## 511 NA 2.2100 2.858000 2.50
## 512 NA 2.2100 2.858000 2.50
## 513 NA 2.2100 2.858000 2.50
## 514 NA 2.2100 2.858000 2.50
## 515 NA NA NA 1.20
## 516 NA NA NA 1.20
## 517 NA NA NA 1.20
## 518 NA NA NA 1.20
## 519 NA NA NA 1.20
## 520 NA NA NA 1.20
## 521 NA NA NA 1.20
## 522 NA NA NA 1.20
## 523 NA NA NA 1.20
## 524 NA NA NA 1.20
## 525 NA NA NA 1.20
## 526 NA NA NA 1.20
## 527 NA NA NA 1.20
## 528 NA NA NA 1.20
## 529 NA NA NA 1.20
## 530 NA NA NA 1.20
## 531 NA NA NA 1.20
## 532 NA NA NA 1.20
## 533 NA NA NA 1.20
## 534 NA NA NA 1.20
## 535 NA NA NA 1.20
## 536 NA NA NA 1.20
## 537 NA NA NA 1.20
## 538 NA NA NA 1.20
## 539 44.600 NA NA 3.00
## 540 44.600 NA NA 3.00
## 541 44.600 NA NA 3.00
## 542 38.000 NA NA 3.00
## 543 36.300 NA NA 4.00
## 544 36.300 NA NA 4.00
## 545 36.300 NA NA 4.00
## 546 36.300 NA NA 4.00
## 547 36.300 NA NA 4.00
## 548 36.300 NA NA 4.00
## 549 36.300 NA NA 4.00
## 550 36.300 NA NA 4.00
## 551 36.300 NA NA 4.00
## 552 44.200 NA NA 4.00
## 553 44.200 NA NA 4.00
## 554 44.200 NA NA 4.00
## 555 44.200 NA NA 4.00
## 556 44.200 NA NA 4.00
## 557 44.200 NA NA 4.00
## 558 44.200 NA NA 4.00
## 559 44.200 NA NA 4.00
## 560 44.200 NA NA 4.00
## 561 36.300 NA NA 4.00
## 562 36.300 NA NA 4.00
## 563 36.300 NA NA 4.00
## 564 36.300 NA NA 4.00
## 565 36.300 NA NA 4.00
## 566 36.300 NA NA 4.00
## 567 36.300 NA NA 4.00
## 568 36.300 NA NA 4.00
## 569 36.300 NA NA 4.00
## 570 44.200 NA NA 4.00
## 571 44.200 NA NA 4.00
## 572 44.200 NA NA 4.00
## 573 44.200 NA NA 4.00
## 574 44.200 NA NA 4.00
## 575 44.200 NA NA 4.00
## 576 44.200 NA NA 4.00
## 577 44.200 NA NA 4.00
## 578 44.200 NA NA 4.00
## 579 58.667 NA NA 4.00
## 580 24.330 NA NA 4.00
## 581 NA NA NA 5.00
## 582 NA NA NA 5.00
## 583 NA NA NA 5.00
## 584 NA NA NA 5.00
## 585 NA NA NA 5.00
## 586 12.800 1.5184 2.215200 20.00
## 587 12.600 1.1752 0.951600 20.00
## 588 12.500 0.5564 0.478400 20.00
## 589 10.300 0.9828 1.081600 20.00
## 590 7.750 1.5496 2.397200 20.00
## 591 11.070 1.0088 1.305200 20.00
## 592 10.870 0.7436 0.670800 20.00
## 593 11.167 1.2220 1.133600 20.00
## 594 11.033 1.1700 1.341600 20.00
## 595 9.267 1.2012 1.170000 20.00
## 596 11.375 0.9412 1.045200 20.00
## 597 10.275 1.2116 1.669200 20.00
## 598 11.450 1.0816 1.123200 20.00
## 599 10.175 1.3520 1.632800 20.00
## 600 10.125 0.9516 1.040000 20.00
## 601 NA NA NA 12.00
## 602 NA NA NA 4.00
## 603 NA NA NA 4.00
## 604 NA NA NA 4.00
## 605 NA NA NA 4.00
## 606 NA NA NA 4.00
## 607 NA NA NA 4.00
## 608 NA NA NA 4.00
## 609 NA NA NA 4.00
## 610 NA NA NA 4.00
## 611 NA NA NA 4.00
## 612 NA NA NA 4.00
## 613 NA NA NA 4.00
## 614 NA NA NA 4.00
## 615 NA NA NA 4.00
## 616 NA NA NA 4.00
## 617 NA NA NA 4.00
## 618 NA NA NA 4.00
## 619 NA NA NA 4.00
## 620 NA NA NA 4.00
## 621 NA NA NA 4.00
## 622 NA NA NA 4.00
## 623 NA NA NA 4.00
## 624 NA NA NA 4.00
## 625 NA NA NA 4.00
## 626 NA NA NA 4.00
## 627 NA NA NA 4.00
## 628 NA NA NA 4.00
## 629 NA NA NA 4.00
## 630 NA NA NA 4.00
## 631 NA NA NA 4.00
## 632 NA NA NA 4.00
## 633 NA NA NA 4.00
## 634 NA NA NA 4.00
## 635 NA NA NA 4.00
## 636 NA NA NA 4.00
## 637 NA NA NA 4.00
## 638 NA NA NA 4.00
## 639 NA NA NA 4.00
## 640 NA NA NA 4.00
## 641 NA NA NA 4.00
## 642 NA NA NA 4.00
## 643 NA NA NA 4.00
## 644 NA NA NA 4.00
## 645 NA NA NA 4.00
## 646 NA NA NA 4.00
## 647 NA NA NA 4.00
## 648 NA NA NA 4.00
## 649 NA NA NA 4.00
## 650 NA NA NA 16.00
## 651 NA NA NA 16.00
## 652 NA NA NA 16.00
## 653 NA NA NA 16.00
## 654 NA NA NA 16.00
## 655 NA NA NA 16.00
## 656 NA NA NA 16.00
## 657 NA NA NA 16.00
## 658 NA NA NA 16.00
## 659 NA NA NA 16.00
## 660 NA NA NA 16.00
## 661 NA NA NA 16.00
## 662 NA NA NA 16.00
## 663 NA NA NA 16.00
## 664 NA NA NA 16.00
## 665 NA NA NA 10.00
## 666 NA NA NA 10.00
## 667 NA NA NA 10.00
## 668 NA NA NA 10.00
## 669 NA NA NA 10.00
## 670 15.310 0.1480 0.164876 12.00
## 671 8.350 0.1145 0.159559 12.00
## 672 7.365 0.1945 0.236296 12.00
## 673 6.735 0.0985 0.140456 12.00
## 674 5.750 0.1785 0.196548 12.00
## 675 6.445 0.1450 0.122941 12.00
## 676 7.387 0.1513 0.176385 12.00
## 677 6.920 0.1737 0.231947 12.00
## 678 7.580 0.1203 0.146165 12.00
## 679 6.310 0.1407 0.167318 12.00
## 680 7.050 0.1465 0.127592 12.00
## 681 NA NA NA 10.00
## 682 NA NA NA 10.00
## 683 NA NA NA 10.00
## 684 NA NA NA 10.00
## 685 NA NA NA 10.00
## 686 NA NA NA 10.00
## 687 NA NA NA 27.00
## 688 NA NA NA 27.00
## 689 NA NA NA 27.00
## 690 NA NA NA 27.00
## 691 NA NA NA 27.00
## 692 NA NA NA 27.00
## 693 NA NA NA 27.00
## 694 NA NA NA 27.00
## 695 NA NA NA 27.00
## 696 NA NA NA 27.00
## 697 NA NA NA 27.00
## 698 NA NA NA 27.00
## 699 NA NA NA 27.00
## 700 NA NA NA 27.00
## 701 NA NA NA 27.00
## 702 NA NA NA 27.00
## 703 NA NA NA 27.00
## 704 NA NA NA 27.00
## 705 NA NA NA 27.00
## 706 NA NA NA 27.00
## 707 NA NA NA 27.00
## 708 NA NA NA 27.00
## 709 NA NA NA 27.00
## 710 NA NA NA 27.00
## 711 NA NA NA 27.00
## 712 NA NA NA 27.00
## 713 NA NA NA 27.00
## 714 NA NA NA 10.00
## 715 NA NA NA 10.00
## 716 NA NA NA 10.00
## 717 NA NA NA 5.00
## 718 NA NA NA 5.00
## 719 NA NA NA 5.00
## 720 NA NA NA 5.00
## 721 NA NA NA 5.00
## 722 NA NA NA 5.00
## 723 NA NA NA 5.00
## 724 NA NA NA 5.00
## 725 NA NA NA 5.00
## 726 NA NA NA 5.00
## 727 NA NA NA 5.00
## 728 NA NA NA 5.00
## 729 NA NA NA 5.00
## 730 NA NA NA 5.00
## 731 NA NA NA 5.00
## 732 NA NA NA 5.00
## 733 NA NA NA 5.00
## 734 NA NA NA 5.00
## 735 NA NA NA 5.00
## 736 NA NA NA 5.00
## 737 NA NA NA 4.00
## 738 NA NA NA 4.00
## 739 NA NA NA 4.00
## 740 NA NA NA 4.00
## 741 NA NA NA 4.00
## 742 NA NA NA 4.00
## 743 NA NA NA 4.00
## 744 NA NA NA 4.00
## 745 NA NA NA 4.00
## 746 NA NA NA 4.00
## 747 NA NA NA 4.00
## 748 NA NA NA 4.00
## 749 NA NA NA 4.00
## 750 NA NA NA 4.00
## 751 NA NA NA 4.00
## 752 NA NA NA 4.00
## 753 NA NA NA 4.00
## 754 NA NA NA 4.00
## 755 NA NA NA 4.00
## 756 NA NA NA 4.00
## 757 NA NA NA 4.00
## 758 NA NA NA 4.00
## 759 NA NA NA 4.00
## 760 NA NA NA 4.00
## 761 NA NA NA 4.00
## 762 NA NA NA 4.00
## 763 NA NA NA 4.00
## 764 48.607 NA NA 7.00
## 765 48.607 NA NA 7.00
## 766 42.630 NA NA 3.50
## 767 42.630 NA NA 3.50
## 768 NA NA NA 10.00
## 769 NA NA NA 10.00
## 770 NA NA NA 10.00
## 771 NA NA NA 10.00
## 772 NA NA NA 10.00
## 773 NA NA NA 10.00
## 774 NA NA NA 10.00
## 775 NA NA NA 10.00
## 776 NA NA NA 10.00
## 777 NA NA NA 10.00
## 778 NA NA NA 1.00
## 779 NA NA NA 1.00
## 780 NA NA NA 1.00
## 781 NA NA NA 1.00
## 782 NA NA NA 1.00
## 783 NA NA NA 1.00
## 784 NA NA NA 1.00
## 785 NA NA NA 1.00
## 786 NA NA NA 1.00
## 787 NA NA NA 1.00
## 788 NA NA NA 1.00
## 789 NA NA NA 1.00
## 790 NA NA NA 1.00
## 791 NA NA NA 1.00
## 792 NA NA NA 1.00
## 793 NA NA NA 1.00
## 794 NA NA NA 1.00
## 795 NA NA NA 1.00
## 796 NA NA NA 1.00
## 797 NA NA NA 1.00
## 798 NA NA NA 1.00
## 799 NA NA NA 1.00
## 800 NA NA NA 1.00
## 801 NA NA NA 1.00
## 802 NA NA NA 1.00
## 803 NA NA NA 1.00
## 804 NA NA NA 10.00
## 805 NA NA NA 10.00
## 806 NA NA NA 10.00
## 807 NA NA NA 10.00
## 808 NA NA NA 10.00
## 809 NA NA NA 10.00
## 810 NA NA NA 10.00
## 811 NA NA NA 10.00
## 812 NA NA NA 10.00
## 813 NA NA NA 10.00
## 814 NA NA NA 10.00
## 815 NA NA NA 10.00
## 816 32.900 NA NA 18.00
## 817 44.050 NA NA 18.00
## 818 40.750 NA NA 18.00
## 819 39.450 NA NA 18.00
## 820 36.150 NA NA 18.00
## 821 47.300 NA NA 18.00
## 822 38.800 NA NA 18.00
## 823 36.600 NA NA 18.00
## 824 44.033 NA NA 18.00
## 825 40.960 NA NA 18.00
## 826 40.100 NA NA 18.00
## 827 32.900 NA NA 18.00
## 828 44.050 NA NA 18.00
## 829 40.750 NA NA 18.00
## 830 39.450 NA NA 18.00
## 831 36.150 NA NA 18.00
## 832 47.300 NA NA 18.00
## 833 38.800 NA NA 18.00
## 834 36.600 NA NA 18.00
## 835 44.033 NA NA 18.00
## 836 40.960 NA NA 18.00
## 837 40.100 NA NA 18.00
## 838 32.900 NA NA 18.00
## 839 44.050 NA NA 18.00
## 840 40.750 NA NA 18.00
## 841 39.450 NA NA 18.00
## 842 36.150 NA NA 18.00
## 843 47.300 NA NA 18.00
## 844 38.800 NA NA 18.00
## 845 36.600 NA NA 18.00
## 846 44.033 NA NA 18.00
## 847 40.960 NA NA 18.00
## 848 40.100 NA NA 18.00
## 849 32.900 NA NA 18.00
## 850 44.050 NA NA 18.00
## 851 40.750 NA NA 18.00
## 852 39.450 NA NA 18.00
## 853 36.150 NA NA 18.00
## 854 47.300 NA NA 18.00
## 855 38.800 NA NA 18.00
## 856 36.600 NA NA 18.00
## 857 44.033 NA NA 18.00
## 858 40.960 NA NA 18.00
## 859 40.100 NA NA 18.00
## 860 NA NA NA 15.00
## 861 NA NA NA 15.00
## 862 NA NA NA 15.00
## 863 NA NA NA 15.00
## 864 NA NA NA 15.00
## 865 NA NA NA 15.00
## 866 NA NA NA 15.00
## 867 NA NA NA 15.00
## Final_weight_g m_expected sd_expected m_observed sd_observed obs_per_day
## 1 6.7504000 14.2750000 2.253330868 15.620000 1.620000000 0.085355191
## 2 5.8368000 25.9100000 2.425118554 27.040000 0.800000000 0.147759563
## 3 6.0608000 23.0400000 4.425144065 24.240000 2.420000000 0.132459016
## 4 6.4896000 18.3900000 3.993269337 18.880000 2.670000000 0.077695473
## 5 5.3024000 33.1100000 5.030377719 33.720000 4.240000000 0.138765432
## 6 5.8208000 26.9800000 3.919528033 27.240000 2.570000000 0.112098765
## 7 5.5400000 29.0050000 4.335666039 30.750000 3.280000000 0.101151316
## 8 4.1536000 45.3000000 3.903613710 48.080000 4.430000000 0.158157895
## 9 4.7040000 38.1660000 4.238513891 41.200000 1.490000000 0.135526316
## 10 5.2856000 31.5600000 3.487491935 33.930000 5.020000000 0.092958904
## 11 4.0360000 47.6900000 3.849909090 49.550000 5.140000000 0.135753425
## 12 4.4032000 40.2700000 3.631060451 44.960000 6.250000000 0.123178082
## 13 7.0168000 10.7200000 1.061649660 12.290000 2.420000000 0.067158470
## 14 6.3440000 15.6000000 2.615167299 20.700000 2.740000000 0.113114754
## 15 6.6832000 13.6800000 2.613331207 16.460000 1.270000000 0.089945355
## 16 6.7064000 16.8200000 3.819358585 16.170000 3.380000000 0.066543210
## 17 5.3792000 25.0550000 4.404316065 32.760000 5.140000000 0.134814815
## 18 5.6808000 22.0900000 3.825480362 28.990000 3.110000000 0.119300412
## 19 5.5240000 29.1250000 5.067780579 30.950000 2.350000000 0.101809211
## 20 3.6408000 41.8400000 6.699634318 54.490000 5.950000000 0.179243421
## 21 4.4368000 36.6860000 3.667724090 44.540000 5.660000000 0.146513158
## 22 4.7640000 38.8550000 3.215493741 40.450000 3.600000000 0.110821918
## 23 3.3776000 53.2700000 4.226795476 57.780000 7.540000000 0.158301370
## 24 3.8088000 46.9100000 5.958288345 52.390000 4.650000000 0.143534247
## 25 8.5881000 11.0130000 2.130000000 14.119000 2.130000000 0.078438889
## 26 7.3798000 25.1690000 0.710000000 26.202000 0.710000000 0.097044444
## 27 6.2721000 36.8415000 0.300000000 37.279000 0.300000000 0.103552778
## 28 5.1012000 44.6835000 2.950000000 48.988000 2.950000000 0.108862222
## 29 4.9924000 47.9455000 1.460000000 50.076000 1.460000000 0.079485714
## 30 4.2451000 53.5175000 2.760000000 57.549000 2.760000000 0.079929167
## 31 8.6738000 10.0590000 2.200000000 13.262000 2.200000000 0.073677778
## 32 7.2854000 21.8960000 3.600000000 27.146000 3.600000000 0.100540741
## 33 6.0772000 32.4450000 4.650000000 39.228000 4.650000000 0.108966667
## 34 5.5670000 38.9125000 3.720000000 44.330000 3.720000000 0.098511111
## 35 5.2294000 44.3595000 2.290000000 47.706000 2.290000000 0.075723810
## 36 4.6022000 50.5630000 2.340000000 53.978000 2.340000000 0.074969444
## 37 8.8881000 11.3560000 0.160000000 11.119000 0.160000000 0.061772222
## 38 7.3898000 21.8970000 2.880000000 26.102000 2.880000000 0.096674074
## 39 6.4791000 34.0370000 1.850000000 35.209000 1.850000000 0.097802778
## 40 5.9801000 40.3315000 0.090000000 40.199000 0.090000000 0.089331111
## 41 5.8435000 43.8040000 1.540000000 41.565000 1.540000000 0.065976190
## 42 5.0377000 49.5255000 0.070000000 49.623000 0.070000000 0.068920833
## 43 9.0500000 13.3500000 1.319090596 9.500000 3.180000000 0.051912568
## 44 8.1500000 19.4500000 3.481379037 18.500000 3.180000000 0.076131687
## 45 7.0100000 33.6000000 5.545268253 29.900000 5.630000000 0.098355263
## 46 4.7700000 47.9500000 6.408587988 52.300000 3.670000000 0.143287671
## 47 9.6100000 7.3500000 1.479864859 3.900000 0.730000000 0.021311475
## 48 9.2400000 13.6500000 4.689349635 7.600000 1.470000000 0.031275720
## 49 8.2200000 28.6500000 2.944486373 17.800000 7.840000000 0.058552632
## 50 6.6700000 39.0500000 6.572670690 33.300000 3.430000000 0.091232877
## 51 9.0900000 8.4000000 1.161895004 9.100000 3.180000000 0.049726776
## 52 8.7900000 14.0000000 4.343961326 12.100000 2.200000000 0.049794239
## 53 8.0000000 23.8500000 1.479864859 20.000000 5.390000000 0.065789474
## 54 6.5400000 32.4500000 3.327160952 34.600000 4.160000000 0.094794521
## 55 9.1300000 11.8000000 1.539480432 8.700000 2.690000000 0.047540984
## 56 8.4000000 19.8500000 5.135172831 16.000000 4.160000000 0.065843621
## 57 6.9900000 32.3000000 4.345687518 30.100000 4.900000000 0.099013158
## 58 5.8900000 44.3250000 6.584071689 41.100000 6.370000000 0.112602740
## 59 4.4800000 43.0000000 8.630758947 44.000000 8.310000000 0.120547945
## 60 4.3200000 45.0000000 8.847033401 46.000000 5.200000000 0.063013699
## 61 4.7900000 34.6600000 0.750000000 38.050000 0.750000000 0.240822785
## 62 5.2500000 32.0400000 0.340000000 30.500000 0.340000000 0.193037975
## 63 4.8800000 36.9300000 0.900000000 32.890000 0.900000000 0.208164557
## 64 5.0200000 34.7900000 1.030000000 30.160000 1.030000000 0.190886076
## 65 4.6700000 39.7800000 1.160000000 34.550000 1.160000000 0.218670886
## 66 5.3100000 31.1200000 0.770000000 27.670000 0.770000000 0.175126582
## 67 5.3200000 30.9900000 0.020000000 30.920000 0.020000000 0.195696203
## 68 5.6200000 27.6000000 0.340000000 29.150000 0.340000000 0.184493671
## 69 4.6200000 40.3300000 1.330000000 34.330000 1.330000000 0.217278481
## 70 4.5000000 41.9800000 2.090000000 32.550000 2.090000000 0.206012658
## 71 4.9400000 36.1600000 0.830000000 32.440000 0.830000000 0.205316456
## 72 5.1500000 33.0700000 0.420000000 31.160000 0.420000000 0.197215190
## 73 5.0100000 35.2100000 0.170000000 35.990000 0.170000000 0.227784810
## 74 5.1100000 33.8100000 0.460000000 31.740000 0.460000000 0.200886076
## 75 4.6300000 40.2500000 1.920000000 31.600000 1.920000000 0.200000000
## 76 5.0800000 34.4500000 0.320000000 32.980000 0.320000000 0.208734177
## 77 3.3700000 56.3600000 0.970000000 52.010000 0.970000000 0.329177215
## 78 3.4900000 54.5400000 0.140000000 55.160000 0.140000000 0.349113924
## 79 3.4900000 54.9900000 2.340000000 44.450000 2.340000000 0.281329114
## 80 3.7500000 51.4300000 0.540000000 48.970000 0.540000000 0.309936709
## 81 4.9400000 36.0400000 0.220000000 35.070000 0.220000000 0.221962025
## 82 3.3100000 57.0500000 3.180000000 42.730000 3.180000000 0.270443038
## 83 3.6200000 53.3300000 1.700000000 45.660000 1.700000000 0.288987342
## 84 2.5300000 67.5800000 3.170000000 53.320000 3.170000000 0.337468354
## 85 3.2200000 58.4600000 2.420000000 47.550000 2.420000000 0.300949367
## 86 3.6300000 52.8700000 2.790000000 40.290000 2.790000000 0.255000000
## 87 3.6900000 52.5800000 1.740000000 44.750000 1.740000000 0.283227848
## 88 3.0700000 60.3700000 3.590000000 44.190000 3.590000000 0.279683544
## 89 9.0933000 16.0600000 4.040000000 9.067000 4.040000000 0.148639344
## 90 7.8189000 22.3390000 0.310000000 21.811000 0.310000000 0.119185792
## 91 6.4178000 29.7485000 3.510000000 35.822000 3.510000000 0.098142466
## 92 3.8270000 10.0000000 0.220000000 11.000000 0.220000000 0.120879121
## 93 3.9130000 11.0000000 0.440000000 9.000000 0.440000000 0.049450549
## 94 3.5260000 16.0000000 0.440000000 18.000000 0.440000000 0.065693431
## 95 3.2680000 22.0000000 0.440000000 24.000000 0.440000000 0.065753425
## 96 2.3650000 41.0000000 0.880000000 45.000000 0.880000000 0.061643836
## 97 1.5500000 63.0000000 0.440000000 65.000000 0.440000000 0.059360731
## 98 6.7740800 14.0000000 8.915560050 15.000000 9.560000000 0.081967213
## 99 5.3573600 31.0000000 10.339690810 33.000000 9.740000000 0.090410959
## 100 5.1852000 36.0000000 9.331407611 35.000000 8.900000000 0.063868613
## 101 4.6481600 45.0000000 16.160276200 42.000000 10.470000000 0.057534247
## 102 5.8654400 25.0000000 12.263430640 27.000000 16.150000000 0.147540984
## 103 4.0845600 47.0000000 14.051489420 49.000000 12.280000000 0.134246575
## 104 3.8647200 52.0000000 10.133824300 52.000000 11.680000000 0.094890511
## 105 2.7296000 59.0000000 16.782531630 66.000000 13.300000000 0.090410959
## 106 6.0880800 20.0000000 10.925644880 24.000000 1.790000000 0.131147541
## 107 4.4082400 40.0000000 13.421720160 45.000000 12.540000000 0.123287671
## 108 4.3343200 45.0000000 9.789940245 46.000000 10.770000000 0.083941606
## 109 3.7807200 52.0000000 14.568010500 53.000000 10.320000000 0.072602740
## 110 7.0000000 11.0000000 8.180316803 13.000000 7.500000000 0.071038251
## 111 5.0370400 37.0000000 13.162076890 37.000000 8.200000000 0.101369863
## 112 4.9075200 40.0000000 8.441123800 39.000000 6.430000000 0.071167883
## 113 3.7606400 51.0000000 10.665675790 53.000000 14.620000000 0.072602740
## 114 6.4641600 15.0000000 9.401414308 19.000000 6.860000000 0.103825137
## 115 3.4524000 49.0000000 17.134437600 57.000000 6.730000000 0.156164384
## 116 3.3781600 53.0000000 9.431921119 58.000000 9.010000000 0.105839416
## 117 2.3944000 70.0000000 11.714608320 70.000000 6.410000000 0.095890411
## 118 6.6796000 13.0000000 8.545317080 17.000000 4.040000000 0.092896175
## 119 4.1497600 43.0000000 14.978760960 48.000000 7.840000000 0.131506849
## 120 4.0759200 46.0000000 8.725767932 49.000000 8.980000000 0.089416058
## 121 3.2452000 61.0000000 10.637789240 59.000000 13.460000000 0.080821918
## 122 1.0220000 2.5212000 0.330000000 3.006000 0.330000000 0.033400000
## 123 1.0220000 5.9278000 2.040000000 8.908000 2.040000000 0.074233333
## 124 1.0220000 44.0700000 3.400000000 49.035000 3.400000000 0.272416667
## 125 1.0220000 71.8206000 6.350000000 62.558000 6.350000000 0.260658333
## 126 1.0220000 74.5612000 7.240000000 85.123000 7.240000000 0.283743333
## 127 0.7000000 4.8600000 6.120000000 13.783000 6.120000000 0.153144444
## 128 0.7000000 9.5035000 0.210000000 9.196000 0.210000000 0.076633333
## 129 0.7000000 53.6310000 8.050000000 65.370000 8.050000000 0.363166667
## 130 0.7000000 79.4400000 4.580000000 86.113000 4.580000000 0.358804167
## 131 0.7000000 83.3200000 2.220000000 86.551000 2.220000000 0.288503333
## 132 0.5220000 7.1988000 1.550000000 9.453000 1.550000000 0.105033333
## 133 0.5220000 13.0792000 3.520000000 18.217000 3.520000000 0.151808333
## 134 0.5220000 63.1920000 7.460000000 74.074000 7.460000000 0.411522222
## 135 0.5220000 87.0594000 6.180000000 96.079000 6.180000000 0.400329167
## 136 0.5220000 92.0788000 4.480000000 98.613000 4.480000000 0.328710000
## 137 1.4460000 51.8000000 2.771281292 53.100000 2.770000000 0.140476190
## 138 1.8720000 39.8000000 4.156921938 37.600000 1.040000000 0.099470899
## 139 1.6680000 45.3000000 3.117691454 44.400000 1.910000000 0.117460317
## 140 2.8510000 18.3230000 1.169134295 21.316000 0.960000000 0.169174603
## 141 2.8510000 40.3950000 13.449374520 54.192000 8.580000000 0.163722054
## 142 2.8510000 48.9560000 10.889403430 60.012000 5.380000000 0.119545817
## 143 2.8510000 61.0720000 8.627345073 70.201000 7.920000000 0.096962707
## 144 3.6600000 19.3680000 5.230793439 20.452000 2.270000000 0.162317460
## 145 3.6600000 42.4570000 12.836228530 47.936000 6.370000000 0.144821752
## 146 3.6600000 48.0900000 10.364592030 52.848000 3.180000000 0.105274900
## 147 3.6600000 61.3990000 1.233220175 61.697000 11.440000000 0.085216851
## 148 3.8300000 15.2230000 7.747463262 16.010000 1.070000000 0.127063492
## 149 3.8300000 35.3260000 6.450157207 42.780000 5.010000000 0.129244713
## 150 3.8300000 37.5340000 11.824710860 47.769000 13.120000000 0.095157371
## 151 3.8300000 44.6170000 8.649861733 72.078000 7.180000000 0.099555249
## 152 0.6000000 44.3770000 3.145210963 40.015000 5.410000000 0.109630137
## 153 0.6200000 39.4910000 3.430882102 38.507000 10.350000000 0.105498630
## 154 0.5600000 56.1670000 6.112231017 44.402000 3.380000000 0.121649315
## 155 0.5700000 48.4100000 2.664378352 42.245000 3.490000000 0.115739726
## 156 0.4300000 53.0450000 6.188598549 53.376000 6.170000000 0.146235616
## 157 0.5300000 47.5290000 2.415476765 45.774000 4.680000000 0.125408219
## 158 0.5400000 42.5730000 3.238549058 45.089000 2.090000000 0.123531507
## 159 0.4900000 59.0390000 4.488713847 50.143000 2.400000000 0.137378082
## 160 0.5400000 51.1470000 2.851054542 45.327000 2.740000000 0.124183562
## 161 0.4800000 55.7530000 3.116926691 51.362000 2.400000000 0.140717808
## 162 0.5500000 53.6910000 5.043085563 43.153000 6.140000000 0.118227397
## 163 0.6200000 44.8840000 0.282842712 37.179000 5.510000000 0.101860274
## 164 0.6000000 55.2660000 4.358606199 50.008000 3.610000000 0.068504110
## 165 0.6200000 54.9370000 2.282540690 54.582000 2.380000000 0.074769863
## 166 0.5600000 65.5360000 4.338807209 54.767000 1.780000000 0.075023288
## 167 0.5700000 62.4190000 1.402899854 56.373000 3.260000000 0.077223288
## 168 0.4300000 70.8560000 5.750192345 66.420000 0.350000000 0.090986301
## 169 0.5300000 56.3610000 2.214658439 54.569000 4.550000000 0.074752055
## 170 0.5400000 56.1570000 3.592102448 53.372000 2.850000000 0.073112329
## 171 0.4900000 67.0630000 5.393810527 58.844000 1.230000000 0.080608219
## 172 0.5400000 63.4610000 1.569777054 61.648000 4.170000000 0.084449315
## 173 0.4800000 71.7220000 7.396336931 70.262000 4.310000000 0.096249315
## 174 0.5500000 57.1640000 1.518865366 51.180000 3.060000000 0.070109589
## 175 0.6200000 54.5950000 4.842267238 49.739000 4.110000000 0.068135616
## 176 5.7457200 5.1690000 1.533380579 4.238000 1.090000000 0.013670968
## 177 4.9422600 15.0150000 1.957142304 17.629000 1.750000000 0.056867742
## 178 4.5160800 25.6990000 0.815680084 24.732000 2.000000000 0.079780645
## 179 3.6251400 38.4640000 4.252314193 39.581000 2.780000000 0.127680645
## 180 5.6968800 5.9270000 0.734846923 5.052000 0.560000000 0.016296774
## 181 5.1256800 13.2890000 1.579920884 14.572000 2.220000000 0.047006452
## 182 4.5118200 22.5380000 1.849364756 24.803000 1.110000000 0.080009677
## 183 3.9725400 31.7680000 2.478883620 33.791000 3.030000000 0.109003226
## 184 3.7876732 5.3735241 0.060000000 5.308170 0.060000000 0.021064168
## 185 3.8509573 3.9915758 0.210000000 3.726068 0.210000000 0.014785985
## 186 3.8829947 2.9251321 0.010000000 2.925132 0.010000000 0.011607667
## 187 3.8139142 4.4544533 0.160000000 4.652146 0.160000000 0.018460895
## 188 3.8456435 3.5264559 0.260000000 3.858914 0.260000000 0.015313150
## 189 3.9045010 2.7238591 0.270000000 2.387476 0.270000000 0.009474112
## 190 3.0208167 22.1732459 1.820000000 24.479582 1.820000000 0.066884103
## 191 3.0512600 25.2330707 1.190000000 23.718499 1.190000000 0.064804642
## 192 2.9608383 25.9790421 0.010000000 25.979042 0.010000000 0.070980989
## 193 2.9906772 24.4795815 0.590000000 25.233071 0.590000000 0.068942816
## 194 4.3500000 19.8260000 6.229685385 18.103000 8.873000000 0.201144444
## 195 4.3500000 36.2070000 5.619238827 32.441000 8.919000000 0.270341667
## 196 4.3500000 41.3360000 6.285587085 40.086000 8.278000000 0.167025000
## 197 4.3500000 55.6030000 6.106701647 54.446000 7.423000000 0.151238889
## 198 4.3500000 65.7330000 5.862970237 63.727000 6.648000000 0.132764583
## 199 4.3500000 76.4560000 4.874628191 73.707000 4.342000000 0.122845000
## 200 7.9536000 22.1700000 2.805942266 20.464000 2.605000000 0.111825137
## 201 7.2706000 27.7080000 2.922602693 27.294000 2.607000000 0.075816667
## 202 6.7167000 34.0385000 4.347118816 32.833000 2.607000000 0.058630357
## 203 6.1077000 43.0860000 4.230121038 38.923000 4.420000000 0.053319178
## 204 5.2808000 48.1805000 4.797680794 47.192000 3.100000000 0.051295652
## 205 4.6354000 48.4350000 4.778693598 53.646000 3.340000000 0.049580407
## 206 4.3989000 55.3320000 5.606325579 56.011000 3.870000000 0.038896528
## 207 3.8671000 59.5340000 4.157180896 61.329000 3.900000000 0.033604932
## 208 3.4833000 64.0340000 4.860679222 65.167000 5.720000000 0.029961839
## 209 3.4142000 69.9700000 9.251828900 65.858000 3.800000000 0.025745895
## 210 5.9340000 45.0500000 3.827832285 40.690000 4.570000000 0.111479452
## 211 4.7700000 56.1800000 8.665665006 52.330000 7.920000000 0.143369863
## 212 5.7100000 66.9500000 18.016230180 67.060000 15.640000000 0.183726027
## 213 6.0100000 42.0100000 4.484908026 39.400000 5.390000000 0.107945205
## 214 6.6000000 48.6400000 9.629151053 44.000000 12.450000000 0.120547945
## 215 4.6700000 58.1100000 11.933830060 53.350000 6.200000000 0.146164384
## 216 0.2572213 99.4833368 0.085146932 97.427787 0.690000000 0.133829378
## 217 0.8123544 97.0113732 0.066708320 91.876456 0.180000000 0.126203923
## 218 0.4156887 99.1987398 0.085146932 95.843113 0.180000000 0.131652628
## 219 0.3914809 99.3692918 0.148660687 96.085191 0.360000000 0.131985153
## 220 1.0965637 97.1849546 0.138924440 89.034363 0.250000000 0.122299949
## 221 0.4976697 98.8295487 0.148660687 95.023303 0.110000000 0.130526515
## 222 0.7244591 45.8818193 0.045499857 63.777046 0.030000000 0.087365816
## 223 0.8347275 38.4918193 0.051628040 58.263627 0.040000000 0.079813188
## 224 0.7793072 48.0038235 0.123468850 61.034642 0.030000000 0.083609098
## 225 0.7793072 41.1395030 0.044586308 61.034642 0.040000000 0.083609098
## 226 18.0800000 8.2800000 4.870000000 9.620000 3.920000000 0.601250000
## 227 18.2000000 8.8000000 4.870000000 9.020000 3.180000000 0.563750000
## 228 18.3800000 9.0500000 4.870000000 8.090000 4.660000000 0.505625000
## 229 17.6700000 10.7800000 5.710000000 11.640000 4.620000000 0.388000000
## 230 17.2400000 11.5600000 5.710000000 13.800000 4.900000000 0.460000000
## 231 17.1800000 11.9700000 5.710000000 14.110000 4.290000000 0.470333333
## 232 16.3300000 14.5600000 4.950000000 18.340000 3.220000000 0.398695652
## 233 16.0600000 15.3900000 4.950000000 19.710000 8.890000000 0.428478261
## 234 15.9900000 16.1800000 4.950000000 20.060000 6.080000000 0.436086957
## 235 16.3300000 19.0800000 4.560000000 18.340000 7.730000000 0.300655738
## 236 15.3200000 19.5400000 4.560000000 23.380000 10.070000000 0.383278689
## 237 15.6600000 20.3800000 4.560000000 21.710000 4.160000000 0.355901639
## 238 15.2400000 22.4900000 7.320000000 23.820000 6.100000000 0.313421053
## 239 15.3300000 23.8000000 7.320000000 23.330000 8.200000000 0.306973684
## 240 13.8600000 25.0100000 7.320000000 30.700000 11.900000000 0.403947368
## 241 13.6300000 27.5400000 9.040000000 31.860000 7.190000000 0.350109890
## 242 13.0400000 28.9100000 9.040000000 34.820000 6.510000000 0.382637363
## 243 13.6800000 30.5400000 9.040000000 31.610000 8.890000000 0.347362637
## 244 13.1500000 31.0500000 7.100000000 34.250000 3.470000000 0.323113208
## 245 12.7700000 32.6300000 7.100000000 36.150000 5.240000000 0.341037736
## 246 12.3700000 34.2600000 7.100000000 38.150000 6.990000000 0.359905660
## 247 12.5300000 33.0200000 9.570000000 37.340000 7.480000000 0.306065574
## 248 12.0400000 34.6600000 9.570000000 39.820000 8.740000000 0.326393443
## 249 10.1700000 36.7700000 9.570000000 49.160000 8.760000000 0.402950820
## 250 11.6100000 44.8900000 5.330000000 41.970000 8.370000000 0.306350365
## 251 10.6900000 45.7200000 5.330000000 46.580000 7.350000000 0.340000000
## 252 9.9100000 46.6100000 5.330000000 50.440000 7.520000000 0.368175182
## 253 10.1000000 51.1600000 11.440000000 49.520000 10.160000000 0.325789474
## 254 8.6400000 52.9000000 11.440000000 56.790000 4.490000000 0.373618421
## 255 8.3900000 54.9600000 11.440000000 58.050000 12.170000000 0.381907895
## 256 10.1900000 55.4200000 11.160000000 49.040000 8.210000000 0.291904762
## 257 7.4700000 59.6600000 11.160000000 62.640000 14.620000000 0.372857143
## 258 4.2400000 63.8400000 11.160000000 78.790000 10.130000000 0.468988095
## 259 6.9920000 29.9130000 8.756486396 31.380000 7.535000000 0.980625000
## 260 6.4300000 36.8986667 3.924971592 36.783000 4.956000000 0.574734375
## 261 9.9600000 42.6310000 4.502539506 41.929000 6.416000000 0.436760417
## 262 9.1770000 50.2780000 5.916859471 53.734000 5.257000000 0.279864583
## 263 9.1770000 50.2780000 5.916859471 68.825000 8.379000000 0.190650970
## 264 9.7926000 55.7080000 20.726603950 2.074000 14.030000000 0.034000000
## 265 9.2805000 4.6785000 20.312482750 7.195000 11.950000000 0.058975410
## 266 8.8414000 10.4810000 20.434071550 11.586000 11.780000000 0.063311475
## 267 8.3047000 16.7100000 20.186955830 16.953000 9.870000000 0.069765432
## 268 8.1872000 19.0870000 19.485829040 18.128000 14.030000000 0.059631579
## 269 8.6131000 18.4245000 19.882222990 13.869000 7.970000000 0.037997260
## 270 8.1787000 17.7575000 20.557197460 18.213000 14.200000000 0.042753521
## 271 7.8120000 20.1370000 17.661605350 21.880000 10.570000000 0.044928131
## 272 6.4173000 37.2305000 19.726895540 35.827000 14.200000000 0.065377737
## 273 6.5121000 35.6225000 20.397704910 34.879000 14.720000000 0.057366776
## 274 5.9572000 42.6755000 20.352823580 40.428000 14.720000000 0.060430493
## 275 5.0923000 53.1305000 20.949519110 49.077000 13.600000000 0.067228767
## 276 9.9008000 0.9700000 18.488838190 0.992000 18.530000000 0.016262295
## 277 9.2066000 6.6500000 18.942360660 7.934000 19.570000000 0.065032787
## 278 8.8095000 11.2515000 19.432248450 11.905000 19.400000000 0.065054645
## 279 8.0803000 20.5190000 20.033618740 19.197000 19.750000000 0.079000000
## 280 7.5722000 23.2585000 19.162326320 24.278000 17.150000000 0.079861842
## 281 7.5501000 20.5410000 22.212864520 24.499000 19.920000000 0.067120548
## 282 7.4254000 25.3010000 19.207050740 25.746000 17.490000000 0.060436620
## 283 7.0678000 26.3670000 19.150331540 29.322000 16.970000000 0.060209446
## 284 4.9721000 49.3175000 18.911398350 50.279000 15.930000000 0.091750000
## 285 4.8387000 52.8490000 15.579049870 51.613000 20.720000000 0.084889803
## 286 4.0571000 52.9380000 14.670235170 59.429000 16.450000000 0.088832586
## 287 4.3553000 56.2760000 19.289344350 56.447000 20.260000000 0.077324658
## 288 9.7945000 1.8885000 16.545926860 2.055000 14.240000000 0.033688525
## 289 9.4477000 7.1080000 17.995298220 5.523000 18.290000000 0.045270492
## 290 9.0858000 11.2330000 19.426170120 9.142000 20.650000000 0.049956284
## 291 7.7104000 25.1610000 18.178011940 22.896000 18.860000000 0.094222222
## 292 7.4842000 25.7910000 17.544618750 25.158000 20.560000000 0.082756579
## 293 7.4661000 26.1085000 19.297770520 25.339000 20.390000000 0.069421918
## 294 7.0771000 27.8270000 17.728216490 29.229000 20.580000000 0.068612676
## 295 7.1938000 29.0180000 15.084566620 28.062000 20.920000000 0.057622177
## 296 4.7715000 54.2810000 18.016701090 52.285000 19.170000000 0.095410584
## 297 4.4892000 56.7350000 18.055090360 55.108000 16.890000000 0.090638158
## 298 4.6311000 54.8130000 18.273967260 53.689000 20.260000000 0.080252616
## 299 3.8215000 61.4770000 18.848590800 61.785000 14.840000000 0.084636986
## 300 1.3670000 78.1150000 3.895428860 86.330000 3.790000000 0.479611111
## 301 1.3500000 71.8000000 4.453829981 86.500000 9.000000000 0.480555556
## 302 2.5670000 73.5600000 4.009942830 74.330000 15.310000000 0.412944444
## 303 0.6250000 82.0600000 3.894567177 93.750000 4.570000000 0.520833333
## 304 2.6750000 69.6530000 3.066152883 73.250000 13.400000000 0.406944444
## 305 2.0750000 65.1510000 3.541613192 79.250000 3.100000000 0.440277778
## 306 0.8250000 69.7000000 4.837156344 91.750000 3.300000000 0.509722222
## 307 9.8441000 15.5600000 0.140000000 15.590000 0.410000000 0.042947658
## 308 4.5996000 19.1200000 1.540000000 23.340000 0.050000000 0.064297521
## 309 4.3020000 24.1000000 1.470000000 28.300000 1.170000000 0.077961433
## 310 7.4810000 22.6300000 1.150000000 25.190000 0.470000000 0.035934379
## 311 4.0806000 28.2700000 2.120000000 31.990000 1.340000000 0.045634807
## 312 3.7860000 36.0000000 1.560000000 36.900000 1.370000000 0.052639087
## 313 4.5650000 45.0800000 4.090000000 54.350000 4.090000000 0.150972222
## 314 5.9850000 37.2500000 1.280000000 40.150000 1.280000000 0.111527778
## 315 6.0510000 35.7800000 1.640000000 39.490000 1.640000000 0.109694444
## 316 4.5600000 45.1000000 2.583602137 54.400000 2.600000000 0.151111111
## 317 5.9800000 37.3000000 3.042203149 40.200000 3.120000000 0.111666667
## 318 6.0500000 35.8000000 2.258317958 39.500000 2.250000000 0.109722222
## 319 4.5500000 44.4000000 2.137755833 54.500000 2.250000000 0.151388889
## 320 5.0500000 40.1000000 2.251666050 49.500000 2.250000000 0.137500000
## 321 2.4270000 69.6330000 9.461997358 75.735000 3.240000000 0.103746575
## 322 3.7940000 56.9120000 9.197423226 62.059000 5.420000000 0.085012329
## 323 3.5290000 58.3830000 7.549182870 64.706000 5.540000000 0.088638356
## 324 2.9560000 64.6330000 10.202870380 70.441000 5.620000000 0.096494521
## 325 2.7210000 66.1030000 8.746206721 72.794000 2.120000000 0.099717808
## 326 4.2650000 53.3830000 8.459274910 57.353000 6.400000000 0.078565753
## 327 3.0440000 63.7250000 9.630170507 69.559000 3.720000000 0.095286301
## 328 2.7940000 64.7060000 8.621981365 72.059000 4.680000000 0.098710959
## 329 3.9710000 56.2270000 8.428959762 60.294000 7.600000000 0.082594521
## 330 3.2500000 61.3730000 9.167951934 67.500000 5.400000000 0.092465753
## 331 3.0590000 61.5080000 8.974651135 69.412000 2.700000000 0.095084932
## 332 3.2650000 63.3085000 5.101464300 67.353000 9.040000000 0.092264384
## 333 4.6770000 49.0440000 5.787574276 53.235000 11.400000000 0.072924658
## 334 4.3820000 50.8820000 6.184943007 56.176000 7.240000000 0.076953425
## 335 3.6030000 58.6770000 4.754279967 63.971000 8.600000000 0.087631507
## 336 3.3970000 60.5150000 5.230743924 66.029000 5.980000000 0.090450685
## 337 5.0290000 46.2500000 5.901843780 49.706000 10.120000000 0.068090411
## 338 3.6030000 57.0100000 5.232084734 63.971000 6.720000000 0.087631507
## 339 3.6176000 58.2350000 5.526877961 63.824000 7.440000000 0.087430137
## 340 4.7940000 48.7250000 5.960461280 52.059000 9.220000000 0.071313699
## 341 4.0000000 55.1470000 5.316503237 60.000000 12.000000000 0.082191781
## 342 3.6320000 54.7800000 5.516189718 63.676000 4.540000000 0.087227397
## 343 6.6848483 51.3348335 0.079192803 55.434344 0.080000000 0.153984290
## 344 5.8699348 55.4788878 0.052421370 60.867101 0.080000000 0.169075282
## 345 5.8875710 56.5346744 0.074508389 60.749526 0.090000000 0.168748685
## 346 5.9646091 54.4885698 0.069692180 60.235939 0.110000000 0.167322053
## 347 6.1200000 37.1500000 10.198039030 38.800000 8.000000000 0.217977528
## 348 6.3200000 36.5000000 12.000000000 36.800000 8.000000000 0.206741573
## 349 4.1965500 16.0510000 2.417646376 16.069000 5.790000000 0.131713115
## 350 4.0868500 17.0990000 4.558500411 18.263000 6.090000000 0.149696721
## 351 4.1632000 17.7990000 1.628910679 16.736000 6.780000000 0.137180328
## 352 4.1383000 18.8470000 1.342320379 17.234000 3.380000000 0.141262295
## 353 4.2338000 17.6360000 0.805882125 15.324000 4.390000000 0.125606557
## 354 4.1377500 17.8150000 0.815680084 17.245000 6.070000000 0.141352459
## 355 3.7034500 27.5860000 3.485623904 25.931000 6.170000000 0.053355967
## 356 3.6276000 30.3450000 3.990218791 27.448000 6.170000000 0.056477366
## 357 3.6620500 25.9310000 2.160449953 26.759000 5.870000000 0.055059671
## 358 3.5793000 28.3450000 2.143303525 28.414000 6.150000000 0.058465021
## 359 3.7758500 25.5860000 1.339870889 24.483000 3.740000000 0.050376543
## 360 3.6517000 29.6550000 1.873859653 26.966000 2.950000000 0.055485597
## 361 8.0800000 18.1000000 1.700000000 19.200000 2.800000000 0.104918033
## 362 7.3200000 27.1000000 2.256102835 26.800000 2.900000000 0.146448087
## 363 7.1000000 33.6000000 2.256102835 29.000000 1.600000000 0.158469945
## 364 7.5000000 26.2600000 2.087262961 25.000000 3.200000000 0.136612022
## 365 6.6800000 27.3000000 2.563201124 33.200000 3.400000000 0.090958904
## 366 5.9600000 38.5000000 2.478574859 40.400000 1.800000000 0.110684932
## 367 5.0400000 46.6000000 2.844292531 49.600000 4.600000000 0.135890411
## 368 5.8800000 37.4600000 1.941648784 41.200000 0.800000000 0.112876712
## 369 6.0200000 36.6000000 1.650757402 39.800000 3.000000000 0.054520548
## 370 5.6200000 45.0000000 2.376972865 43.800000 2.600000000 0.060000000
## 371 4.0600000 56.2000000 2.342007686 59.400000 2.400000000 0.081369863
## 372 5.0800000 45.8670000 2.149418526 49.200000 2.900000000 0.067397260
## 373 1.9966043 20.1358296 7.435488191 20.450000 3.750000000 0.329838710
## 374 1.7884116 28.4635363 8.350710419 31.790000 3.980000000 0.256370968
## 375 1.8023994 27.9040237 10.020022370 29.260000 2.770000000 0.080606061
## 376 1.7015188 31.9392484 10.515216350 38.550000 13.650000000 0.052735978
## 377 2.1519083 13.9236663 9.493388784 18.289216 1.820000000 0.294987360
## 378 1.7331842 30.6726327 1.969975381 30.040186 2.670000000 0.242259561
## 379 1.5181008 39.2759666 13.431119120 40.594077 4.620000000 0.111829414
## 380 1.1330938 54.6762487 9.997324800 52.697805 7.700000000 0.072090021
## 381 2.0619574 17.5217020 12.609321980 9.804323 24.780000000 0.079067119
## 382 1.9332730 22.6690807 12.582799960 27.500065 4.570000000 0.075757753
## 383 1.7104468 31.5821287 10.495998930 34.027977 11.040000000 0.046549900
## 384 2.1448197 14.2072103 3.629183386 19.004260 8.800000000 0.306520327
## 385 1.9161052 23.3557927 6.812496263 22.429718 1.220000000 0.180884824
## 386 1.9926787 20.2928508 15.760440880 28.135910 2.190000000 0.077509393
## 387 1.4260025 42.9599000 10.283234250 42.463058 1.300000000 0.058088999
## 388 2.3778443 4.8862296 10.180769670 11.702698 5.520000000 0.188753195
## 389 2.0745106 17.0195778 12.566904340 25.701012 8.260000000 0.207266224
## 390 2.0923774 16.3049059 17.319225780 20.600000 2.630000000 0.056749311
## 391 1.6734638 33.0614495 9.837852019 34.014439 13.560000000 0.046531380
## 392 2.3715906 5.1363743 10.380615620 19.388056 1.930000000 0.312710587
## 393 2.1239176 15.0432956 15.298939900 37.969454 4.900000000 0.306205271
## 394 2.1008953 15.9641881 16.982166970 40.617862 8.870000000 0.111894937
## 395 1.7651845 29.3926209 13.851121740 54.095482 18.540000000 0.074002027
## 396 2.2726032 9.0958724 6.383057542 34.448984 45.560000000 0.555628775
## 397 2.1661840 13.3526386 7.788767070 38.458791 38.260000000 0.310151537
## 398 2.1102870 15.5885190 8.584326969 40.606791 28.800000000 0.111864439
## 399 1.6446494 34.2140252 16.158913400 45.031823 25.700000000 0.061603041
## 400 2.3510632 5.9574705 6.605392273 18.017189 28.070000000 0.145299914
## 401 2.2332855 10.6685793 8.444461830 16.776679 2.700000000 0.046216746
## 402 1.9480165 22.0793395 14.724877220 43.440176 15.490000000 0.059425686
## 403 2.3998324 4.0067043 12.896699950 7.894991 2.560000000 0.127338569
## 404 2.2052110 11.7915612 9.641917475 5.922311 2.610000000 0.047760573
## 405 2.2827903 8.6883877 9.341832100 16.486559 8.100000000 0.045417517
## 406 1.6635722 33.4571108 21.723035490 37.563681 2.230000000 0.051386705
## 407 2.2157825 11.3686985 6.989576881 10.942548 2.290000000 0.176492705
## 408 2.0099235 19.6030604 2.235621687 21.495797 4.590000000 0.173353201
## 409 2.1042581 15.8296752 8.412526065 22.735021 2.310000000 0.062630912
## 410 1.4398666 42.4053372 11.971175140 19.894585 3.740000000 0.027215574
## 411 2.3618671 5.5253161 10.331872600 10.202423 1.640000000 0.164555204
## 412 2.1787371 12.8505144 7.387343620 18.411522 2.660000000 0.148480019
## 413 2.2428740 10.2850400 10.179402690 11.093951 5.970000000 0.030561848
## 414 1.6076663 35.6933460 15.439676640 16.439364 14.680000000 0.022488870
## 415 2.1473671 14.1053147 9.301463216 11.571712 4.460000000 0.186640510
## 416 1.8622386 25.5104547 6.318452600 24.199050 8.780000000 0.195153633
## 417 1.8903910 24.3843601 8.063620544 19.540254 5.120000000 0.053829901
## 418 1.6589528 33.6418893 6.932457924 38.662640 5.320000000 0.052890068
## 419 2.4867723 0.5291060 11.078599050 4.742372 2.660000000 0.076489868
## 420 2.1948027 12.2078923 9.944814011 3.295878 21.040000000 0.026579665
## 421 2.2272566 10.9097355 8.440165814 12.868254 3.990000000 0.035449734
## 422 1.8039071 27.8437144 18.492437690 26.540101 20.920000000 0.036306567
## 423 2.2194175 11.2233016 9.116469962 12.506106 21.730000000 0.100855691
## 424 2.3125794 7.4968241 4.957347173 10.382624 4.190000000 0.028602269
## 425 1.9365595 22.5376198 14.836756510 22.723493 9.190000000 0.031085489
## 426 2.3636163 5.4553463 5.350444593 21.014482 9.350000000 0.169471631
## 427 2.3658725 5.3651002 6.214160569 7.663846 11.480000000 0.021112522
## 428 1.9110335 23.5586604 15.400576800 17.805630 11.080000000 0.024357908
## 429 2.4463775 2.1449001 14.111867060 12.262729 5.990000000 0.197785952
## 430 2.0786687 16.8532512 14.527407130 26.617081 1.620000000 0.214653875
## 431 1.8343645 26.6254196 25.961116700 29.651294 11.060000000 0.081684006
## 432 1.4662949 41.3482025 26.482043620 45.658668 12.500000000 0.062460558
## 433 2.4425534 2.2978625 9.035816136 12.930903 3.030000000 0.208562959
## 434 2.2177359 11.2905632 10.852579260 19.307143 9.890000000 0.155702768
## 435 2.1944386 12.2224563 8.200994849 22.103009 8.160000000 0.060889831
## 436 1.8468849 26.1246022 13.158716590 25.731012 3.070000000 0.035199743
## 437 2.4857733 0.5690688 5.372798310 6.613723 3.100000000 0.106672954
## 438 2.2423507 10.3059725 9.991071541 17.661941 5.800000000 0.142435012
## 439 2.2797614 8.8095449 5.598900600 8.011070 17.940000000 0.022069064
## 440 1.9723743 21.1050263 8.205096880 25.084559 5.860000000 0.034315402
## 441 2.3865496 4.5380173 5.713149065 17.364826 4.710000000 0.140038918
## 442 2.3330545 6.6778210 7.218327260 11.359917 2.060000000 0.031294536
## 443 1.9468483 22.1260669 9.374572167 22.180253 7.850000000 0.030342344
## 444 2.3865496 4.5380173 5.713149065 11.518367 2.990000000 0.092890057
## 445 2.3330545 6.6778210 7.218327260 9.574966 4.830000000 0.026377316
## 446 1.9468483 22.1260669 9.374572167 26.130000 5.610000000 0.035745554
## 447 2.4021586 3.9136566 12.296191970 10.959452 1.030000000 0.176765350
## 448 2.1016019 15.9359221 15.496834620 28.235093 7.170000000 0.227702364
## 449 1.8015465 27.9381404 24.909571750 35.547275 8.480000000 0.097926377
## 450 1.5021098 39.9156090 24.762227420 37.405585 10.380000000 0.051170431
## 451 2.1905870 12.3765211 9.095524313 23.602704 4.400000000 0.380688771
## 452 1.8868534 24.5258640 7.454376758 29.289205 6.530000000 0.236203264
## 453 1.9757138 20.9714487 11.345983760 22.645655 4.840000000 0.062384724
## 454 1.8157642 27.3694322 7.220442380 29.995043 10.490000000 0.041032891
## 455 2.0809968 16.7601269 8.505521491 19.759555 21.280000000 0.318702494
## 456 1.8318699 26.7252054 9.106025621 29.983325 1.890000000 0.241801012
## 457 1.8204484 27.1820645 14.321309630 22.454392 2.290000000 0.061857828
## 458 1.5847444 36.6102251 10.498916370 28.352600 15.100000000 0.038786047
## 459 2.2087803 11.6487890 11.455719720 10.882399 6.590000000 0.175522571
## 460 2.0819487 16.7220512 13.344133520 15.605331 4.180000000 0.125849445
## 461 1.9667617 21.3295304 10.572885340 20.795036 4.610000000 0.057286600
## 462 1.8033912 27.8643503 11.502717630 29.841182 7.020000000 0.040822411
## 463 2.1115648 15.5374093 12.243088430 19.982587 2.580000000 0.322299789
## 464 1.8095542 27.6178319 7.999239008 30.143886 2.150000000 0.243095851
## 465 1.5678407 37.2863707 17.498009060 32.592806 8.150000000 0.089787343
## 466 1.3216697 47.1332132 18.688492350 47.593117 9.500000000 0.065106863
## 467 2.2491238 10.0350460 7.510270983 13.408921 4.270000000 0.216272913
## 468 2.0055787 19.7768521 14.065615270 25.133832 1.770000000 0.202692192
## 469 1.9170218 23.3191263 7.886376752 27.770991 2.970000000 0.076504108
## 470 1.6148154 35.4073858 15.225931420 36.775944 8.620000000 0.050309089
## 471 2.2355230 10.5790785 6.938696597 12.779475 0.880000000 0.206120566
## 472 1.8739329 25.0426831 7.916506949 22.795034 2.880000000 0.183830918
## 473 1.9963157 20.1473712 10.571657570 25.932477 5.310000000 0.071439330
## 474 1.6033583 35.8656660 14.848473650 34.659309 11.480000000 0.047413555
## 475 2.3321341 6.7146344 11.559326870 5.116015 9.310000000 0.082516365
## 476 2.0675389 17.2984456 16.920937390 22.039042 5.700000000 0.177734211
## 477 2.0567071 17.7317158 13.507709630 19.899816 6.450000000 0.054820431
## 478 1.6695530 33.2178780 18.265201880 38.266017 9.960000000 0.052347493
## 479 2.2039125 11.8434988 10.349195450 17.782782 3.669932918 0.286819062
## 480 1.9097609 23.6095624 10.215343540 32.795521 4.716565743 0.264480005
## 481 1.8508014 25.9679421 17.047994960 26.207990 3.438688135 0.072198319
## 482 1.4413738 42.3450479 15.493906280 47.137588 5.990055387 0.064483705
## 483 2.2257969 10.9681246 10.470450770 15.012806 1.911463399 0.242142029
## 484 1.9596665 21.6133387 12.334973220 24.402685 3.122787180 0.196795850
## 485 1.9706184 21.1752633 12.573454950 25.770444 7.243838526 0.070992960
## 486 1.6174644 35.3014225 13.305247460 33.865041 5.935465541 0.046327006
## 487 2.2118292 11.5268303 10.951497790 14.901061 1.211647934 0.240339698
## 488 1.9323663 22.7053477 11.006618000 25.443327 1.576353722 0.205188118
## 489 1.9846773 20.6129084 12.274773700 21.004874 6.312574698 0.057864666
## 490 1.6929764 32.2809449 11.955968250 34.760877 4.253147491 0.047552499
## 491 2.2863020 8.5479199 10.283177970 22.523833 1.963412058 0.363287637
## 492 2.1239402 15.0423917 10.850508470 30.460638 1.841863104 0.245650308
## 493 2.0964385 16.1424602 10.179435850 31.698707 4.113380181 0.087324263
## 494 1.7239562 31.0417502 14.231063330 41.840877 10.773426660 0.057237862
## 495 2.3035899 7.8564025 9.845004404 15.050339 0.759992926 0.242747403
## 496 2.1337861 14.6485554 10.711484960 18.736968 3.169200321 0.151104581
## 497 2.1305676 14.7772956 10.259580320 21.565011 4.842657311 0.059407745
## 498 1.7823473 28.7061100 13.800939020 33.308073 7.891142537 0.045565079
## 499 2.3371937 6.5122527 12.444433440 15.472967 0.488879590 0.249563990
## 500 2.1395510 14.4179607 11.495977450 23.292144 1.735944204 0.187839869
## 501 2.1654398 13.3824076 11.135074290 21.415709 4.092653593 0.058996444
## 502 1.7320660 30.7173583 16.778765610 23.585212 11.077468270 0.032264311
## 503 2.3892576 4.4296959 11.660924960 7.428348 3.660880066 0.119812066
## 504 2.1452336 14.1906568 11.401736890 20.021955 5.420360914 0.161467381
## 505 2.1773554 12.9057822 10.332389000 16.476801 6.192875261 0.045390638
## 506 1.8490606 26.0375764 13.730517100 33.541014 9.986863923 0.045883740
## 507 2.2524766 9.9009377 9.961182847 18.236853 3.592857772 0.294142788
## 508 2.0337546 18.6498170 11.147379180 28.033369 3.677944528 0.226075558
## 509 2.0900133 16.3994696 13.038571320 25.213523 4.816184796 0.069458742
## 510 1.6948885 32.2044599 13.997751320 39.611008 6.538686078 0.054187425
## 511 2.2952509 8.1899621 10.732474940 5.681867 4.890000000 0.091643009
## 512 2.0332406 18.6703750 11.650607930 19.987847 10.340000000 0.161192315
## 513 2.0025348 19.8986076 14.873214150 16.064293 3.890000000 0.044254251
## 514 1.6505753 33.9769875 15.652284360 21.755353 9.110000000 0.029761085
## 515 0.6600000 39.8600000 3.160000000 44.600000 3.160000000 0.122191781
## 516 0.7100000 41.2300000 3.160000000 41.083000 3.160000000 0.112556164
## 517 0.7500000 38.9600000 3.160000000 37.310000 3.160000000 0.102219178
## 518 0.7000000 39.4100000 3.160000000 41.702000 3.160000000 0.114252055
## 519 0.6700000 39.2600000 3.160000000 44.214000 3.160000000 0.121134247
## 520 0.7200000 40.7600000 3.160000000 39.781000 3.160000000 0.108989041
## 521 0.7400000 36.6500000 3.160000000 38.374000 3.160000000 0.105134247
## 522 0.7000000 37.9600000 3.160000000 41.702000 3.160000000 0.114252055
## 523 0.6800000 38.8400000 3.160000000 43.341000 3.160000000 0.118742466
## 524 0.7100000 40.9500000 3.160000000 41.022000 3.160000000 0.112389041
## 525 0.7300000 37.6860000 3.160000000 38.832000 3.160000000 0.106389041
## 526 0.7200000 38.2600000 3.160000000 40.184000 3.160000000 0.110093151
## 527 0.7000000 38.2000000 3.160000000 41.519000 3.160000000 0.113750685
## 528 0.7400000 40.4800000 3.160000000 38.413000 3.160000000 0.105241096
## 529 0.7700000 37.7000000 3.160000000 35.700000 3.160000000 0.097808219
## 530 0.7300000 37.9500000 3.160000000 39.542000 3.160000000 0.108334247
## 531 0.6700000 40.1570000 3.160000000 44.352000 3.160000000 0.121512329
## 532 0.7100000 40.3000000 3.160000000 40.923000 3.160000000 0.112117808
## 533 0.7300000 38.5200000 3.160000000 39.064000 3.160000000 0.107024658
## 534 0.6900000 39.3400000 3.160000000 42.737000 3.160000000 0.117087671
## 535 0.7100000 38.4600000 3.160000000 40.814000 3.160000000 0.111819178
## 536 0.7300000 39.5200000 3.160000000 39.450000 3.160000000 0.108082192
## 537 0.7300000 36.8300000 3.160000000 39.160000 3.160000000 0.107287671
## 538 0.7300000 37.6450000 3.160000000 39.530000 3.160000000 0.108301370
## 539 2.1600000 7.8805000 3.607991131 7.392500 3.350000000 0.040396175
## 540 1.3650000 22.5155000 6.175193033 22.088000 4.990000000 0.060515068
## 541 1.2600000 38.3090000 12.104260940 36.880000 10.910000000 0.050520548
## 542 1.8150000 47.9720000 13.514094310 44.051500 13.980000000 0.040229680
## 543 2.8944400 27.3680000 0.200000000 27.639000 0.200000000 0.075723288
## 544 2.8992000 24.2660000 2.370000000 27.520000 2.370000000 0.075397260
## 545 2.9474000 21.1600000 3.750000000 26.315000 3.750000000 0.072095890
## 546 2.6847600 24.8840000 5.820000000 32.881000 5.820000000 0.090084932
## 547 2.6591600 29.8820000 2.650000000 33.521000 2.650000000 0.091838356
## 548 2.7984400 26.2760000 2.740000000 30.039000 2.740000000 0.082298630
## 549 2.7614000 27.1140000 2.800000000 30.965000 2.800000000 0.084835616
## 550 2.6534000 27.1940000 4.710000000 33.665000 4.710000000 0.092232877
## 551 2.8447600 27.4200000 1.060000000 28.881000 1.060000000 0.079126027
## 552 3.0599200 23.8270000 0.240000000 23.502000 0.240000000 0.064389041
## 553 3.1471600 22.1890000 0.630000000 21.321000 0.630000000 0.058413699
## 554 3.1996400 20.5510000 0.390000000 20.009000 0.390000000 0.054819178
## 555 2.9066400 29.2590000 1.400000000 27.334000 1.400000000 0.074887671
## 556 3.0155600 27.7020000 2.250000000 24.611000 2.250000000 0.067427397
## 557 2.8771600 26.1450000 1.400000000 28.071000 1.400000000 0.076906849
## 558 2.7924000 30.5150000 0.230000000 30.190000 0.230000000 0.082712329
## 559 2.8536000 28.9850000 0.230000000 28.660000 0.230000000 0.078520548
## 560 2.7802800 27.4550000 2.210000000 30.493000 2.210000000 0.083542466
## 561 2.7600000 29.0000000 1.460000000 31.000000 1.460000000 0.042465753
## 562 2.6400000 29.0000000 3.640000000 34.000000 3.640000000 0.046575342
## 563 2.6400000 29.0000000 3.640000000 34.000000 3.640000000 0.046575342
## 564 2.1600000 49.2500000 2.370000000 46.000000 2.370000000 0.063013699
## 565 1.9600000 49.5000000 1.100000000 51.000000 1.100000000 0.069863014
## 566 1.8800000 49.7500000 2.360000000 53.000000 2.360000000 0.072602740
## 567 1.9200000 47.2500000 3.460000000 52.000000 3.460000000 0.071232877
## 568 2.0000000 46.5000000 2.550000000 50.000000 2.550000000 0.068493151
## 569 1.9600000 45.7500000 3.820000000 51.000000 3.820000000 0.069863014
## 570 2.5600000 37.5000000 1.100000000 36.000000 1.100000000 0.049315068
## 571 2.7200000 35.0000000 2.180000000 32.000000 2.180000000 0.043835616
## 572 2.6400000 32.5000000 1.100000000 34.000000 1.100000000 0.046575342
## 573 2.3200000 44.7500000 2.000000000 42.000000 2.000000000 0.057534247
## 574 2.4800000 43.5000000 4.000000000 38.000000 4.000000000 0.052054795
## 575 2.2000000 42.2500000 2.000000000 45.000000 2.000000000 0.061643836
## 576 1.7600000 58.0000000 1.460000000 56.000000 1.460000000 0.076712329
## 577 1.9600000 57.0000000 4.370000000 51.000000 4.370000000 0.069863014
## 578 2.0000000 56.0000000 4.370000000 50.000000 4.370000000 0.068493151
## 579 3.0000000 26.0000000 1.080000000 25.000000 2.700000000 0.068493151
## 580 2.5600000 34.0000000 1.200000000 36.000000 1.720000000 0.098630137
## 581 4.2872000 20.9700000 3.516203492 14.256000 22.830000000 0.475200000
## 582 3.9547500 27.2790000 3.923649194 20.905000 19.840000000 0.087104167
## 583 3.9362000 26.9850000 5.730697340 21.276000 30.210000000 0.078800000
## 584 3.6503500 31.4710000 3.166964319 26.993000 25.930000000 0.089976667
## 585 3.6417000 34.1070000 4.349615155 27.166000 29.630000000 0.082321212
## 586 1.3265497 88.5774759 0.443474890 93.367251 1.500000000 0.133381788
## 587 3.0880337 83.9005163 0.230225559 84.559831 0.290000000 0.120799759
## 588 6.1425019 70.1081100 0.345222063 69.287491 0.430000000 0.098982129
## 589 2.7168758 80.4849258 0.337082775 86.415621 0.550000000 0.123450887
## 590 1.2258355 88.9283564 0.469404334 93.870822 1.940000000 0.134101175
## 591 2.2514350 80.9857784 0.132902936 88.742825 0.690000000 0.126775465
## 592 4.3806990 75.2113173 0.231504590 78.096505 0.260000000 0.111566436
## 593 2.5922485 84.6366131 0.168134423 87.038758 0.370000000 0.124341082
## 594 2.1903495 83.8165809 0.114182575 89.048252 0.860000000 0.127211789
## 595 2.5116008 84.3137081 0.158134727 87.441996 0.540000000 0.124917137
## 596 2.8114934 79.6559761 0.114763953 85.942533 0.560000000 0.122775047
## 597 1.7604678 84.4760001 0.189994224 91.197661 0.600000000 0.130282373
## 598 2.6162508 82.3208283 0.171855240 86.918746 0.420000000 0.124169637
## 599 1.7997139 86.5094802 0.161855544 91.001430 0.620000000 0.130002043
## 600 2.8255509 79.8664575 0.238364846 85.872246 0.720000000 0.122674637
## 601 4.4880000 63.5000000 0.400000000 62.600000 0.400000000 0.171506849
## 602 2.9956400 25.0000000 3.070906137 25.000000 1.550000000 0.277777778
## 603 2.8733600 25.5000000 7.235917115 28.000000 2.295000000 0.311111111
## 604 2.9214000 30.0000000 7.026191572 27.000000 2.459000000 0.300000000
## 605 2.5618800 39.5000000 11.092649210 36.000000 4.781000000 0.400000000
## 606 2.6812400 26.0000000 7.456243189 33.000000 2.123000000 0.366666667
## 607 2.5982400 26.0000000 9.076926600 35.000000 3.729000000 0.388888889
## 608 2.1091600 48.5000000 2.921863275 47.000000 2.230000000 0.522222222
## 609 1.7292400 52.0000000 3.326174154 57.000000 3.059000000 0.633333333
## 610 2.5356800 36.2500000 5.702856324 37.000000 0.920000000 0.411111111
## 611 2.1921200 46.2500000 8.813381346 45.000000 3.921000000 0.500000000
## 612 2.1834000 45.7500000 2.998905050 45.000000 2.329000000 0.500000000
## 613 1.8355200 56.0000000 6.481674919 54.000000 4.207000000 0.600000000
## 614 2.0713200 47.7500000 5.605211124 48.000000 2.520000000 0.533333333
## 615 1.7933200 53.5000000 7.194190695 55.000000 8.031000000 0.611111111
## 616 2.4614400 39.0000000 5.662722291 38.000000 1.736000000 0.422222222
## 617 2.1877600 42.2500000 6.835716166 45.000000 1.530000000 0.500000000
## 618 2.2736400 44.1700000 4.937010752 43.000000 5.808000000 0.477777778
## 619 1.8762800 53.6700000 7.623729271 53.000000 4.017000000 0.588888889
## 620 2.2896800 42.6700000 4.651168151 43.000000 3.825000000 0.477777778
## 621 1.9112000 51.3300000 7.615881247 52.000000 6.813000000 0.577777778
## 622 2.4032000 38.6700000 4.842511108 40.000000 1.816000000 0.444444444
## 623 2.1936000 47.0000000 7.721470812 45.000000 5.741000000 0.500000000
## 624 2.5298400 40.3300000 4.952522102 37.000000 4.590000000 0.411111111
## 625 2.2663600 48.1700000 7.447926244 43.000000 5.648000000 0.477777778
## 626 2.4930400 40.0000000 3.349000000 38.000000 4.494000000 0.211111111
## 627 2.0651200 54.0000000 10.288007000 48.000000 10.614000000 0.266666667
## 628 2.3720800 44.5000000 7.756762114 41.000000 3.548000000 0.227777778
## 629 1.6046400 62.5000000 11.460109340 60.000000 9.371000000 0.333333333
## 630 2.0930400 45.0000000 7.232174535 48.000000 1.338000000 0.266666667
## 631 1.9860400 44.5000000 8.943997317 50.000000 5.293000000 0.277777778
## 632 1.6465200 64.0000000 5.543372710 59.000000 1.164000000 0.327777778
## 633 1.0790800 71.5000000 7.579768928 73.000000 3.101000000 0.405555556
## 634 1.9767600 50.0000000 5.527208224 51.000000 1.912000000 0.283333333
## 635 1.4651200 62.5000000 10.327291430 63.000000 4.494000000 0.350000000
## 636 1.7906800 59.5000000 4.445486138 55.000000 3.442000000 0.305555556
## 637 1.1395200 76.0000000 9.766363333 72.000000 4.935000000 0.400000000
## 638 1.5348800 61.7500000 6.694297163 62.000000 2.724000000 0.344444444
## 639 1.0325600 71.5000000 8.515546577 74.000000 5.265000000 0.411111111
## 640 1.9767600 54.5000000 6.443342669 51.000000 3.478000000 0.283333333
## 641 1.6883600 58.0000000 8.289993516 58.000000 4.504000000 0.322222222
## 642 1.7116400 57.1700000 5.002238899 57.000000 1.721000000 0.316666667
## 643 1.2790800 70.8300000 9.315368860 68.000000 5.685000000 0.377777778
## 644 1.7906800 56.0000000 5.257698863 55.000000 2.773000000 0.305555556
## 645 1.2232400 69.5000000 8.633898714 69.000000 5.397000000 0.383333333
## 646 1.7674400 52.8300000 5.838536403 56.000000 3.538000000 0.311111111
## 647 1.4976800 65.0000000 9.250350678 63.000000 5.268000000 0.350000000
## 648 1.7581200 54.6700000 5.532601633 56.000000 6.139000000 0.311111111
## 649 1.2976800 65.5000000 9.500154271 68.000000 9.074000000 0.377777778
## 650 15.6320000 3.8000000 0.360000000 2.300000 0.251700000 0.082142857
## 651 14.0800000 12.6000000 0.140000000 12.000000 0.140000000 0.428571429
## 652 15.7760000 6.5000000 1.210000000 1.400000 1.210000000 0.050000000
## 653 14.7200000 8.2000000 0.050000000 8.000000 0.050000000 0.142857143
## 654 12.5440000 23.7000000 0.500000000 21.600000 0.500000000 0.385714286
## 655 13.8400000 17.0600000 0.840000000 13.500000 0.840000000 0.241071429
## 656 14.3200000 12.2000000 0.400000000 10.500000 0.400000000 0.125000000
## 657 10.5920000 33.2000000 0.140000000 33.800000 0.140000000 0.402380952
## 658 13.1040000 27.4000000 2.200000000 18.100000 2.200000000 0.215476190
## 659 14.2720000 13.5000000 0.640000000 10.800000 0.640000000 0.096428571
## 660 10.1600000 36.4000000 0.020000000 36.500000 0.020000000 0.325892857
## 661 12.1600000 31.0000000 1.660000000 24.000000 1.660000000 0.214285714
## 662 13.5840000 16.2000000 0.260000000 15.100000 0.260000000 0.107857143
## 663 8.4288000 43.5000000 0.900000000 47.320000 0.900000000 0.338000000
## 664 11.7600000 37.4000000 2.580000000 26.500000 2.580000000 0.189285714
## 665 9.5200000 4.4500000 4.501982674 4.800000 2.300000000 0.080000000
## 666 9.3300000 7.3000000 3.972696062 6.700000 2.880000000 0.055833333
## 667 8.6500000 13.2500000 7.678504021 13.500000 3.240000000 0.075000000
## 668 7.7140000 17.4800000 6.465321183 22.860000 1.220000000 0.084666667
## 669 6.8500000 20.6000000 3.660650489 31.500000 7.800000000 0.078750000
## 670 7.3175725 71.2522962 0.003327850 39.020229 0.003964664 0.035634912
## 671 7.4352310 70.2729354 0.002835710 38.039742 0.005743480 0.034739490
## 672 5.9062945 72.5584607 0.008708644 50.780879 0.004593399 0.046375232
## 673 7.8737831 69.7934769 0.002193677 34.385141 0.004789120 0.031401955
## 674 6.6542959 72.1158648 0.008521235 44.547534 0.006367019 0.040682679
## 675 8.2985736 71.1659236 0.008341350 30.845220 0.003271844 0.028169150
## 676 7.0692306 71.3470072 0.005839708 41.089745 0.003768943 0.037524881
## 677 5.9838588 71.9816992 0.005954275 50.134510 0.008521690 0.045784940
## 678 7.7400771 70.4448533 0.002306598 35.499357 0.002535722 0.032419505
## 679 7.2641599 71.0416701 0.005715511 39.465334 0.005180564 0.036041401
## 680 8.1835877 71.2091423 0.004490534 31.803436 0.005720964 0.029044234
## 681 9.0300000 9.6600000 2.925806555 9.700000 1.710000000 0.045539906
## 682 8.5300000 16.9200000 2.687090248 14.700000 2.060000000 0.053649635
## 683 7.8300000 21.6200000 3.279094235 21.700000 4.100000000 0.064776119
## 684 7.3200000 24.0100000 4.270221013 26.800000 3.930000000 0.046366782
## 685 7.1000000 29.3000000 2.840777182 29.000000 3.340000000 0.045383412
## 686 6.5700000 37.3400000 2.995509139 34.300000 2.360000000 0.049000000
## 687 24.9500000 2.6600000 16.670904760 7.600000 7.790000000 0.271428571
## 688 24.7900000 4.3000000 16.670904760 8.200000 15.590000000 0.292857143
## 689 24.0800000 5.9400000 16.670904760 10.800000 14.240000000 0.385714286
## 690 24.5200000 7.9800000 7.104816043 9.200000 5.790000000 0.164285714
## 691 24.0000000 9.5000000 7.104816043 11.100000 10.320000000 0.198214286
## 692 23.0600000 11.0200000 7.104816043 14.600000 5.560000000 0.260714286
## 693 23.4600000 13.0100000 7.366931620 13.100000 6.050000000 0.116964286
## 694 21.5200000 15.2000000 7.366931620 20.300000 5.070000000 0.181250000
## 695 21.9200000 17.6000000 7.366931620 18.800000 13.320000000 0.167857143
## 696 21.2200000 16.0900000 20.426106860 21.400000 13.580000000 0.127380952
## 697 20.7900000 16.1500000 20.426106860 23.000000 7.280000000 0.136904762
## 698 19.4900000 16.0900000 20.426106860 27.800000 7.400000000 0.165476190
## 699 19.6600000 22.6800000 14.938298750 27.200000 12.310000000 0.138775510
## 700 17.1500000 24.4000000 14.938298750 36.500000 8.690000000 0.186224490
## 701 17.7400000 26.1200000 14.938298750 34.300000 5.150000000 0.175000000
## 702 18.3100000 25.9800000 15.132656260 32.200000 8.780000000 0.143750000
## 703 16.4200000 28.9500000 15.132656260 39.200000 4.300000000 0.175000000
## 704 16.0900000 31.8500000 15.132656260 40.400000 8.050000000 0.180357143
## 705 17.0600000 29.2800000 14.476404080 36.800000 9.000000000 0.146031746
## 706 15.9300000 37.3500000 14.476404080 41.000000 4.910000000 0.162698413
## 707 15.4200000 30.7200000 14.476404080 42.900000 5.550000000 0.170238095
## 708 15.6300000 37.2200000 17.684649020 42.100000 17.420000000 0.136688312
## 709 14.8800000 40.7000000 17.684649020 44.900000 9.470000000 0.145779221
## 710 14.1200000 44.1800000 17.684649020 47.700000 5.750000000 0.154870130
## 711 14.3400000 46.6400000 10.828029320 46.900000 10.340000000 0.128846154
## 712 13.8000000 50.0000000 10.828029320 48.900000 9.570000000 0.134340659
## 713 13.2300000 53.3600000 10.828029320 51.000000 13.150000000 0.140109890
## 714 9.1300000 7.8000000 1.040000000 8.700000 1.620000000 0.145000000
## 715 8.3800000 14.2000000 1.478000000 16.200000 1.600000000 0.136134454
## 716 7.8500000 17.4000000 1.564000000 21.500000 2.050000000 0.118784530
## 717 3.6000000 28.2500000 3.300169314 28.000000 3.380000000 0.088888889
## 718 3.6000000 26.5500000 2.453041989 27.000000 3.010000000 0.085714286
## 719 3.7000000 27.2000000 3.139787493 26.300000 3.510000000 0.083492063
## 720 3.7000000 23.4500000 3.003369358 25.000000 4.210000000 0.079365079
## 721 3.8000000 23.1500000 2.587722454 24.500000 4.540000000 0.077777778
## 722 3.8000000 24.1000000 3.586234515 24.500000 3.800000000 0.077777778
## 723 3.8000000 23.8000000 3.246098889 23.700000 5.120000000 0.075238095
## 724 3.9000000 22.4000000 2.826194526 21.500000 2.470000000 0.068253968
## 725 4.0000000 22.1000000 2.379801567 21.000000 3.930000000 0.066666667
## 726 4.1000000 19.0000000 2.943852578 18.700000 4.100000000 0.059365079
## 727 1.7000000 59.9000000 23.207697260 65.300000 30.670000000 0.207301587
## 728 1.8000000 58.4000000 23.114789710 64.000000 43.600000000 0.203174603
## 729 1.9000000 57.7000000 8.661222979 62.700000 16.850000000 0.199047619
## 730 2.1000000 48.4000000 22.718816420 57.300000 27.990000000 0.181904762
## 731 2.5000000 46.3000000 7.250116620 49.300000 23.420000000 0.156507937
## 732 2.5000000 42.6500000 22.383363450 49.100000 27.140000000 0.155873016
## 733 2.6000000 47.7500000 7.541080791 48.500000 8.750000000 0.153968254
## 734 2.7000000 40.5500000 6.118376500 46.900000 17.220000000 0.148888889
## 735 2.8000000 42.0000000 6.460513873 44.500000 5.830000000 0.141269841
## 736 3.5000000 30.5000000 4.391542667 29.900000 5.360000000 0.094920635
## 737 3.8160000 31.5000000 3.830000000 4.600000 3.830000000 0.076666667
## 738 3.6600000 12.0000000 0.050000000 8.500000 0.050000000 0.141666667
## 739 3.6800000 6.0000000 0.280000000 8.000000 0.280000000 0.133333333
## 740 3.6880000 33.5000000 3.660000000 7.800000 3.660000000 0.130000000
## 741 3.5000000 14.0000000 0.210000000 12.500000 0.210000000 0.208333333
## 742 3.7560000 8.0000000 0.270000000 6.100000 0.270000000 0.101666667
## 743 3.8160000 29.5000000 3.540000000 4.600000 3.540000000 0.076666667
## 744 3.7960000 10.0000000 0.700000000 5.100000 0.700000000 0.085000000
## 745 3.8920000 4.0000000 0.180000000 2.700000 0.180000000 0.045000000
## 746 3.5040000 26.0000000 2.320000000 12.400000 2.320000000 0.103333333
## 747 3.4360000 17.5000000 0.580000000 14.100000 0.580000000 0.117500000
## 748 3.3520000 15.5000000 0.120000000 16.200000 0.120000000 0.135000000
## 749 3.3560000 27.5000000 1.950000000 16.100000 1.950000000 0.134166667
## 750 3.1440000 19.0000000 0.410000000 21.400000 0.410000000 0.178333333
## 751 3.4320000 17.0000000 0.480000000 14.200000 0.480000000 0.118333333
## 752 3.5760000 23.0000000 2.120000000 10.600000 2.120000000 0.088333333
## 753 3.5160000 14.5000000 0.410000000 12.100000 0.410000000 0.100833333
## 754 3.6960000 12.5000000 0.840000000 7.600000 0.840000000 0.063333333
## 755 2.4920000 45.0000000 5.190000000 37.700000 5.190000000 0.157083333
## 756 2.1560000 50.5000000 3.130000000 46.100000 3.130000000 0.192083333
## 757 2.2880000 30.5000000 8.740000000 42.800000 8.740000000 0.178333333
## 758 2.2000000 49.5000000 3.200000000 45.000000 3.200000000 0.187500000
## 759 1.6760000 55.0000000 2.200000000 58.100000 2.200000000 0.242083333
## 760 2.2520000 35.0000000 6.180000000 43.700000 6.180000000 0.182083333
## 761 2.5240000 44.5000000 5.400000000 36.900000 5.400000000 0.153750000
## 762 2.4000000 50.0000000 7.110000000 40.000000 7.110000000 0.166666667
## 763 2.5480000 30.0000000 4.480000000 36.300000 4.480000000 0.151250000
## 764 4.1251000 39.7200000 0.660000000 41.070000 0.660000000 0.101910670
## 765 3.9452000 39.7200000 1.900000000 43.640000 1.900000000 0.108287841
## 766 2.0128500 47.4700000 2.420000000 42.490000 2.420000000 0.105434243
## 767 1.9565000 51.0300000 3.360000000 44.100000 3.360000000 0.109429280
## 768 8.6900000 14.0000000 0.620000000 13.100000 0.620000000 0.214754098
## 769 7.5800000 23.7000000 0.340000000 24.200000 0.340000000 0.171631206
## 770 6.7900000 29.2000000 1.990000000 32.100000 1.990000000 0.099689441
## 771 6.2900000 40.5000000 2.330000000 37.100000 2.330000000 0.093216080
## 772 8.6900000 14.0000000 0.620000000 13.100000 0.620000000 0.214754098
## 773 7.5800000 23.7000000 0.340000000 24.200000 0.340000000 0.171631206
## 774 6.7900000 29.2000000 1.990000000 32.100000 1.990000000 0.099689441
## 775 6.2900000 40.5000000 2.330000000 37.100000 2.330000000 0.093216080
## 776 5.6700000 47.2000000 2.670000000 43.300000 2.670000000 0.096008869
## 777 5.6700000 47.2000000 2.670000000 43.300000 2.670000000 0.096008869
## 778 0.5650000 45.1000000 20.647518010 43.500000 24.040000000 0.543750000
## 779 0.5950000 38.9000000 14.707821050 40.500000 11.600000000 0.506250000
## 780 0.5530000 38.2000000 13.859292910 44.700000 13.010000000 0.558750000
## 781 0.6210000 36.7000000 16.687720040 37.900000 6.510000000 0.473750000
## 782 0.6410000 38.2000000 20.647518010 35.900000 14.710000000 0.448750000
## 783 0.6200000 38.5000000 18.101933600 38.000000 17.820000000 0.475000000
## 784 0.6180000 36.1000000 16.687720040 38.200000 11.030000000 0.477500000
## 785 0.6660000 32.3000000 8.485281374 33.400000 12.730000000 0.417500000
## 786 0.6970000 29.8000000 10.748023070 30.300000 11.880000000 0.378750000
## 787 0.6840000 30.1000000 8.485281374 31.600000 12.160000000 0.395000000
## 788 0.6060000 40.7000000 15.839191900 39.400000 13.860000000 0.492500000
## 789 0.5630000 40.9000000 14.424978340 43.700000 20.930000000 0.546250000
## 790 0.5770000 39.9000000 14.424978340 42.300000 6.220000000 0.528750000
## 791 0.6480000 36.8000000 9.616652224 35.200000 26.020000000 0.440000000
## 792 0.6440000 35.1000000 11.879393920 35.600000 7.920000000 0.445000000
## 793 0.5860000 36.4000000 14.707821050 41.400000 13.860000000 0.517500000
## 794 0.6080000 34.7000000 14.142135620 39.200000 11.030000000 0.490000000
## 795 0.6760000 30.8000000 7.636753237 32.400000 11.880000000 0.405000000
## 796 0.6130000 35.3000000 11.030865790 38.700000 4.530000000 0.483750000
## 797 0.5460000 34.9000000 12.162236640 45.400000 14.140000000 0.567500000
## 798 0.5850000 38.7000000 11.879393920 41.500000 14.990000000 0.518750000
## 799 0.5920000 36.9000000 12.445079350 40.800000 10.750000000 0.510000000
## 800 0.5950000 37.6000000 11.313708500 40.500000 14.710000000 0.506250000
## 801 0.5620000 34.5000000 8.768124087 43.800000 6.510000000 0.547500000
## 802 0.6400000 34.2000000 11.313708500 36.000000 13.860000000 0.450000000
## 803 0.6100000 36.5000000 10.182337650 39.000000 8.770000000 0.487500000
## 804 8.2000000 15.6500000 1.750000000 18.000000 1.750000000 0.295081967
## 805 6.0900000 36.1500000 2.020000000 39.100000 2.020000000 0.257236842
## 806 5.2300000 38.2500000 6.470000000 47.700000 6.470000000 0.130684932
## 807 4.0100000 52.2000000 5.280000000 59.900000 5.280000000 0.122997947
## 808 7.6700000 22.9500000 0.240000000 23.300000 0.240000000 0.381967213
## 809 5.3000000 39.8000000 4.940000000 47.000000 4.940000000 0.309210526
## 810 4.8900000 43.2500000 5.380000000 51.100000 5.380000000 0.140000000
## 811 3.4800000 58.5000000 4.590000000 65.200000 4.590000000 0.133880903
## 812 7.0100000 26.7000000 2.190000000 29.900000 2.190000000 0.490163934
## 813 4.8800000 46.1500000 3.460000000 51.200000 3.460000000 0.336842105
## 814 4.3900000 49.5000000 4.500000000 56.100000 4.500000000 0.153698630
## 815 3.4300000 64.0000000 1.160000000 65.700000 1.160000000 0.134907598
## 816 6.9800400 54.3370000 3.040000000 61.222000 3.040000000 0.083865753
## 817 8.6774400 55.1940000 1.500000000 51.792000 1.500000000 0.070947945
## 818 8.8873200 60.0500000 3.390000000 50.626000 3.390000000 0.069350685
## 819 8.4499200 54.8270000 0.780000000 53.056000 0.780000000 0.072679452
## 820 7.4349000 59.6800000 0.430000000 58.695000 0.430000000 0.080404110
## 821 9.4473000 60.5430000 5.750000000 47.515000 5.750000000 0.065089041
## 822 7.2075600 54.7860000 2.280000000 59.958000 2.280000000 0.082134247
## 823 9.1499400 58.0260000 3.910000000 49.167000 3.910000000 0.067352055
## 824 7.9774200 58.5970000 1.290000000 55.681000 1.290000000 0.076275342
## 825 8.3273400 58.3520000 2.040000000 53.737000 2.040000000 0.073612329
## 826 7.3125000 57.4400000 0.850000000 59.375000 0.850000000 0.081335616
## 827 9.8872200 42.7630000 1.020000000 45.071000 1.020000000 0.061741096
## 828 9.8836200 40.7750000 1.900000000 45.091000 1.900000000 0.061768493
## 829 7.8863400 45.7395000 4.610000000 56.187000 4.610000000 0.076968493
## 830 8.8704000 50.1590000 0.250000000 50.720000 0.250000000 0.069479452
## 831 8.2213200 55.1230000 0.350000000 54.326000 0.350000000 0.074419178
## 832 5.7664800 53.1355000 6.540000000 67.964000 6.540000000 0.093101370
## 833 9.0921600 44.5650000 2.170000000 49.488000 2.170000000 0.067791781
## 834 8.1630000 47.8750000 2.990000000 54.650000 2.990000000 0.074863014
## 835 8.7571800 46.5500000 2.120000000 51.349000 2.120000000 0.070341096
## 836 7.8629400 52.8060000 1.550000000 56.317000 1.550000000 0.077146575
## 837 6.9863400 47.9490000 5.840000000 61.187000 5.840000000 0.083817808
## 838 5.2245000 60.6995000 4.530000000 70.975000 4.530000000 0.097226027
## 839 5.9907600 59.7830000 3.060000000 66.718000 3.060000000 0.091394521
## 840 6.5493000 66.5890000 1.310000000 63.615000 1.310000000 0.087143836
## 841 6.4477800 55.2605000 3.930000000 64.179000 3.930000000 0.087916438
## 842 5.9918400 62.0665000 2.050000000 66.712000 2.050000000 0.091386301
## 843 4.9563000 61.1500000 4.990000000 72.465000 4.990000000 0.099267123
## 844 6.7743000 58.5810000 1.670000000 62.365000 1.670000000 0.085431507
## 845 6.5457000 63.1180000 0.230000000 63.635000 0.230000000 0.087171233
## 846 5.6525400 62.5070000 2.690000000 68.597000 2.690000000 0.093968493
## 847 6.5259000 59.4900000 1.880000000 63.745000 1.880000000 0.087321918
## 848 6.3149400 60.9250000 1.760000000 64.917000 1.760000000 0.088927397
## 849 6.8542200 51.1245000 4.760000000 61.921000 4.760000000 0.084823288
## 850 9.3886200 48.3760000 0.240000000 47.841000 0.240000000 0.065535616
## 851 9.4966200 47.8455000 0.270000000 47.241000 0.270000000 0.064713699
## 852 8.8410600 55.4300000 2.010000000 50.883000 2.010000000 0.069702740
## 853 8.1754200 54.9000000 0.140000000 54.581000 0.140000000 0.074768493
## 854 7.2005400 52.1515000 3.460000000 59.997000 3.460000000 0.082187671
## 855 6.1201800 51.6400000 6.330000000 65.999000 6.330000000 0.090409589
## 856 6.5874600 51.2900000 4.340000000 63.403000 4.340000000 0.086853425
## 857 6.9165000 49.4580000 5.340000000 61.575000 5.340000000 0.084349315
## 858 7.6046400 54.1610000 1.580000000 57.752000 1.580000000 0.079112329
## 859 5.9441400 51.6830000 6.750000000 66.977000 6.750000000 0.091749315
## 860 14.9100000 1.3000000 2.400000000 0.600000 2.400000000 0.003703704
## 861 12.2625000 18.9500000 2.400000000 18.250000 2.400000000 0.072420635
## 862 9.9688500 33.7050000 0.560000000 33.541000 0.560000000 0.098360704
## 863 8.8425000 42.1740000 3.850000000 41.050000 3.850000000 0.066209677
## 864 7.9800000 47.7000000 3.090000000 46.800000 3.090000000 0.066288952
## 865 7.2900000 51.0600000 1.200000000 51.410000 1.200000000 0.056432492
## 866 6.8850000 54.3000000 0.690000000 54.100000 0.690000000 0.054591322
## 867 6.8307000 58.9700000 15.450000000 54.462000 15.450000000 0.050804104
## exp_per_day sd_obsv_per_day sd_exp_per_day
## 1 0.078005464 0.008852459 0.012313283
## 2 0.141584699 0.004371585 0.013252014
## 3 0.125901639 0.013224044 0.024181115
## 4 0.075679012 0.010987654 0.016433207
## 5 0.136255144 0.017448560 0.020701143
## 6 0.111028807 0.010576132 0.016129745
## 7 0.095411184 0.010789474 0.014262059
## 8 0.149013158 0.014572368 0.012840835
## 9 0.125546053 0.004901316 0.013942480
## 10 0.086465753 0.013753425 0.009554772
## 11 0.130657534 0.014082192 0.010547696
## 12 0.110328767 0.017123288 0.009948111
## 13 0.058579235 0.013224044 0.005801364
## 14 0.085245902 0.014972678 0.014290532
## 15 0.074754098 0.006939891 0.014280498
## 16 0.069218107 0.013909465 0.015717525
## 17 0.103106996 0.021152263 0.018124757
## 18 0.090905350 0.012798354 0.015742718
## 19 0.095805921 0.007730263 0.016670331
## 20 0.137631579 0.019572368 0.022038271
## 21 0.120677632 0.018618421 0.012064882
## 22 0.106452055 0.009863014 0.008809572
## 23 0.145945205 0.020657534 0.011580262
## 24 0.128520548 0.012739726 0.016324078
## 25 0.061183333 0.011833333 0.011833333
## 26 0.093218519 0.002629630 0.002629630
## 27 0.102337500 0.000833333 0.000833333
## 28 0.099296667 0.006555556 0.006555556
## 29 0.076103968 0.002317460 0.002317460
## 30 0.074329861 0.003833333 0.003833333
## 31 0.055883333 0.012222222 0.012222222
## 32 0.081096296 0.013333333 0.013333333
## 33 0.090125000 0.012916667 0.012916667
## 34 0.086472222 0.008266667 0.008266667
## 35 0.070411905 0.003634921 0.003634921
## 36 0.070226389 0.003250000 0.003250000
## 37 0.063088889 0.000888889 0.000888889
## 38 0.081100000 0.010666667 0.010666667
## 39 0.094547222 0.005138889 0.005138889
## 40 0.089625556 0.000200000 0.000200000
## 41 0.069530159 0.002444444 0.002444444
## 42 0.068785417 0.000097200 0.000097200
## 43 0.072950820 0.017377049 0.007208145
## 44 0.080041152 0.013086420 0.014326663
## 45 0.110526316 0.018519737 0.018241014
## 46 0.131369863 0.010054795 0.017557775
## 47 0.040163934 0.003989071 0.008086693
## 48 0.056172840 0.006049383 0.019297735
## 49 0.094243421 0.025789474 0.009685810
## 50 0.106986301 0.009397260 0.018007317
## 51 0.045901639 0.017377049 0.006349153
## 52 0.057613169 0.009053498 0.017876384
## 53 0.078453947 0.017730263 0.004867977
## 54 0.088904110 0.011397260 0.009115509
## 55 0.064480874 0.014699454 0.008412461
## 56 0.081687243 0.017119342 0.021132398
## 57 0.106250000 0.016118421 0.014295025
## 58 0.121438356 0.017452055 0.018038553
## 59 0.117808219 0.022767123 0.023645915
## 60 0.061643836 0.007123288 0.012119224
## 61 0.219367089 0.004746835 0.004746835
## 62 0.202784810 0.002151899 0.002151899
## 63 0.233734177 0.005696203 0.005696203
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## 254 0.348026316 0.029539474 0.075263158
## 255 0.361578947 0.080065789 0.075263158
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## 257 0.355119048 0.087023810 0.066428571
## 258 0.380000000 0.060297619 0.066428571
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## 260 0.576541667 0.077437500 0.061327681
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## 398 0.042943579 0.079338843 0.023648284
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## 415 0.227505076 0.071935484 0.150023600
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## 440 0.028871445 0.008016416 0.011224483
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## 448 0.128515501 0.057822581 0.124974473
## 449 0.076964574 0.023360882 0.068621410
## 450 0.054604116 0.014199726 0.033874456
## 451 0.199621308 0.070967742 0.146702005
## 452 0.197789226 0.052661290 0.060115942
## 453 0.057772586 0.013333333 0.031256154
## 454 0.037441084 0.014350205 0.009877486
## 455 0.270324628 0.343225806 0.137185831
## 456 0.215525850 0.015241935 0.073435690
## 457 0.074881720 0.006308540 0.039452644
## 458 0.050082387 0.020656635 0.014362403
## 459 0.187883693 0.106290323 0.184769673
## 460 0.134855252 0.033709677 0.107613980
## 461 0.058759037 0.012699725 0.029126406
## 462 0.038118126 0.009603283 0.015735592
## 463 0.250603375 0.041612903 0.197469168
## 464 0.222724451 0.017338710 0.064509992
## 465 0.102717275 0.022451791 0.048203882
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## 467 0.161855581 0.068870968 0.121133403
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## 471 0.170630299 0.014193548 0.111914461
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## 473 0.055502400 0.014628099 0.029123024
## 474 0.049063839 0.015704514 0.020312549
## 475 0.108300555 0.150161290 0.186440756
## 476 0.139503594 0.045967742 0.136459173
## 477 0.048847702 0.017768595 0.037211321
## 478 0.045441694 0.013625171 0.024986596
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## 480 0.190399697 0.038036821 0.082381803
## 481 0.071537030 0.009472970 0.046964173
## 482 0.057927562 0.008194330 0.021195494
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## 485 0.058334059 0.019955478 0.034637617
## 486 0.048291960 0.008119652 0.018201433
## 487 0.185916619 0.019542709 0.176637061
## 488 0.183107642 0.012712530 0.088763048
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## 490 0.044159979 0.005818259 0.016355634
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## 492 0.121309610 0.014853735 0.087504101
## 493 0.044469587 0.011331626 0.028042523
## 494 0.042464775 0.014737930 0.019467939
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## 496 0.118133511 0.025558067 0.086382943
## 497 0.040708803 0.013340654 0.028263307
## 498 0.039269644 0.010794997 0.018879534
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## 500 0.116273877 0.013999550 0.092709496
## 501 0.036866137 0.011274528 0.030675136
## 502 0.042021010 0.015153855 0.022953168
## 503 0.071446708 0.059046453 0.188079435
## 504 0.114440781 0.043712588 0.091949491
## 505 0.035553119 0.017060262 0.028463882
## 506 0.035619120 0.013661921 0.018783197
## 507 0.159692543 0.057949319 0.160664239
## 508 0.150401750 0.029660843 0.089898219
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## 510 0.044055349 0.008944851 0.019148771
## 511 0.132096163 0.078870968 0.173104435
## 512 0.150567541 0.083387097 0.093956516
## 513 0.054817101 0.010716253 0.040973042
## 514 0.046480147 0.012462380 0.021412154
## 515 0.109205479 0.008657534 0.008657534
## 516 0.112958904 0.008657534 0.008657534
## 517 0.106739726 0.008657534 0.008657534
## 518 0.107972603 0.008657534 0.008657534
## 519 0.107561644 0.008657534 0.008657534
## 520 0.111671233 0.008657534 0.008657534
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## 522 0.104000000 0.008657534 0.008657534
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## 524 0.112191781 0.008657534 0.008657534
## 525 0.103249315 0.008657534 0.008657534
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## 527 0.104657534 0.008657534 0.008657534
## 528 0.110904110 0.008657534 0.008657534
## 529 0.103287671 0.008657534 0.008657534
## 530 0.103972603 0.008657534 0.008657534
## 531 0.110019178 0.008657534 0.008657534
## 532 0.110410959 0.008657534 0.008657534
## 533 0.105534247 0.008657534 0.008657534
## 534 0.107780822 0.008657534 0.008657534
## 535 0.105369863 0.008657534 0.008657534
## 536 0.108273973 0.008657534 0.008657534
## 537 0.100904110 0.008657534 0.008657534
## 538 0.103136986 0.008657534 0.008657534
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## 540 0.061686301 0.013671233 0.016918337
## 541 0.052478082 0.014945205 0.016581179
## 542 0.043810046 0.012767123 0.012341639
## 543 0.074980822 0.000547945 0.000547945
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## 545 0.057972603 0.010273973 0.010273973
## 546 0.068175342 0.015945205 0.015945205
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## 549 0.074284932 0.007671233 0.007671233
## 550 0.074504110 0.012904110 0.012904110
## 551 0.075123288 0.002904110 0.002904110
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## 553 0.060791781 0.001726027 0.001726027
## 554 0.056304110 0.001068493 0.001068493
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## 556 0.075895890 0.006164384 0.006164384
## 557 0.071630137 0.003835616 0.003835616
## 558 0.083602740 0.000630137 0.000630137
## 559 0.079410959 0.000630137 0.000630137
## 560 0.075219178 0.006054795 0.006054795
## 561 0.039726027 0.002000000 0.002000000
## 562 0.039726027 0.004986301 0.004986301
## 563 0.039726027 0.004986301 0.004986301
## 564 0.067465753 0.003246575 0.003246575
## 565 0.067808219 0.001506849 0.001506849
## 566 0.068150685 0.003232877 0.003232877
## 567 0.064726027 0.004739726 0.004739726
## 568 0.063698630 0.003493151 0.003493151
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## 571 0.047945205 0.002986301 0.002986301
## 572 0.044520548 0.001506849 0.001506849
## 573 0.061301370 0.002739726 0.002739726
## 574 0.059589041 0.005479452 0.005479452
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## 576 0.079452055 0.002000000 0.002000000
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## 579 0.071232877 0.007397260 0.002958904
## 580 0.093150685 0.004712329 0.003287671
## 581 0.699000000 0.761000000 0.117206783
## 582 0.113662500 0.082666667 0.016348538
## 583 0.099944444 0.111888889 0.021224805
## 584 0.104903333 0.086433333 0.010556548
## 585 0.103354545 0.089787879 0.013180652
## 586 0.126539251 0.002142857 0.000633536
## 587 0.119857880 0.000414286 0.000328894
## 588 0.100154443 0.000614286 0.000493174
## 589 0.114978465 0.000785714 0.000481547
## 590 0.127040509 0.002771429 0.000670578
## 591 0.115693969 0.000985714 0.000189861
## 592 0.107444739 0.000371429 0.000330721
## 593 0.120909447 0.000528571 0.000240192
## 594 0.119737973 0.001228571 0.000163118
## 595 0.120448154 0.000771429 0.000225907
## 596 0.113794252 0.000800000 0.000163949
## 597 0.120680000 0.000857143 0.000271420
## 598 0.117601183 0.000600000 0.000245507
## 599 0.123584972 0.000885714 0.000231222
## 600 0.114094939 0.001028571 0.000340521
## 601 0.173972603 0.001095890 0.001095890
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## 603 0.283333333 0.025500000 0.080399079
## 604 0.333333333 0.027322222 0.078068795
## 605 0.438888889 0.053122222 0.123251658
## 606 0.288888889 0.023588889 0.082847147
## 607 0.288888889 0.041433333 0.100854740
## 608 0.538888889 0.024777778 0.032465148
## 609 0.577777778 0.033988889 0.036957491
## 610 0.402777778 0.010222222 0.063365070
## 611 0.513888889 0.043566667 0.097926459
## 612 0.508333333 0.025877778 0.033321167
## 613 0.622222222 0.046744444 0.072018610
## 614 0.530555556 0.028000000 0.062280124
## 615 0.594444444 0.089233333 0.079935452
## 616 0.433333333 0.019288889 0.062919137
## 617 0.469444444 0.017000000 0.075952402
## 618 0.490777778 0.064533333 0.054855675
## 619 0.596333333 0.044633333 0.084708103
## 620 0.474111111 0.042500000 0.051679646
## 621 0.570333333 0.075700000 0.084620903
## 622 0.429666667 0.020177778 0.053805679
## 623 0.522222222 0.063788889 0.085794120
## 624 0.448111111 0.051000000 0.055028023
## 625 0.535222222 0.062755556 0.082754736
## 626 0.222222222 0.024966667 0.018605556
## 627 0.300000000 0.058966667 0.057155594
## 628 0.247222222 0.019711111 0.043093123
## 629 0.347222222 0.052061111 0.063667274
## 630 0.250000000 0.007433333 0.040178747
## 631 0.247222222 0.029405556 0.049688874
## 632 0.355555556 0.006466667 0.030796515
## 633 0.397222222 0.017227778 0.042109827
## 634 0.277777778 0.010622222 0.030706712
## 635 0.347222222 0.024966667 0.057373841
## 636 0.330555556 0.019122222 0.024697145
## 637 0.422222222 0.027416667 0.054257574
## 638 0.343055556 0.015133333 0.037190540
## 639 0.397222222 0.029250000 0.047308592
## 640 0.302777778 0.019322222 0.035796348
## 641 0.322222222 0.025022222 0.046055520
## 642 0.317611111 0.009561111 0.027790216
## 643 0.393500000 0.031583333 0.051752049
## 644 0.311111111 0.015405556 0.029209438
## 645 0.386111111 0.029983333 0.047966104
## 646 0.293500000 0.019655556 0.032436313
## 647 0.361111111 0.029266667 0.051390837
## 648 0.303722222 0.034105556 0.030736676
## 649 0.363888889 0.050411111 0.052778635
## 650 0.135714286 0.008989286 0.012857143
## 651 0.450000000 0.005000000 0.005000000
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## 653 0.146428571 0.000892857 0.000892857
## 654 0.423214286 0.008928571 0.008928571
## 655 0.304642857 0.015000000 0.015000000
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## 657 0.395238095 0.001666667 0.001666667
## 658 0.326190476 0.026190476 0.026190476
## 659 0.120535714 0.005714286 0.005714286
## 660 0.325000000 0.000178571 0.000178571
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## 662 0.115714286 0.001857143 0.001857143
## 663 0.310714286 0.006428571 0.006428571
## 664 0.267142857 0.018428571 0.018428571
## 665 0.074166667 0.038333333 0.075033045
## 666 0.060833333 0.024000000 0.033105801
## 667 0.073611111 0.018000000 0.042658356
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## 676 0.065157084 0.000003440 0.000005330
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## 678 0.064333199 0.000002320 0.000002110
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## 684 0.041539792 0.006799308 0.007387926
## 685 0.045852895 0.005226917 0.004445661
## 686 0.053342857 0.003371429 0.004279299
## 687 0.095000000 0.278214286 0.595389456
## 688 0.153571429 0.556785714 0.595389456
## 689 0.212142857 0.508571429 0.595389456
## 690 0.142500000 0.103392857 0.126871715
## 691 0.169642857 0.184285714 0.126871715
## 692 0.196785714 0.099285714 0.126871715
## 693 0.116160714 0.054017857 0.065776175
## 694 0.135714286 0.045267857 0.065776175
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## 697 0.096130952 0.043333333 0.121583969
## 698 0.095773810 0.044047619 0.121583969
## 699 0.115714286 0.062806122 0.076215810
## 700 0.124489796 0.044336735 0.076215810
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## 703 0.129241071 0.019196429 0.067556501
## 704 0.142187500 0.035937500 0.067556501
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## 707 0.121904762 0.022023810 0.057446048
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## 709 0.132142857 0.030746753 0.057417692
## 710 0.143441558 0.018668831 0.057417692
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## 712 0.137362637 0.026291209 0.029747333
## 713 0.146593407 0.036126374 0.029747333
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## 716 0.096132597 0.011325967 0.008640884
## 717 0.089682540 0.010730159 0.010476728
## 718 0.084285714 0.009555556 0.007787435
## 719 0.086349206 0.011142857 0.009967579
## 720 0.074444444 0.013365079 0.009534506
## 721 0.073492063 0.014412698 0.008214992
## 722 0.076507937 0.012063492 0.011384871
## 723 0.075555556 0.016253968 0.010305076
## 724 0.071111111 0.007841270 0.008972046
## 725 0.070158730 0.012476190 0.007554926
## 726 0.060317460 0.013015873 0.009345564
## 727 0.190158730 0.097365079 0.073675229
## 728 0.185396825 0.138412698 0.073380285
## 729 0.183174603 0.053492063 0.027495946
## 730 0.153650794 0.088857143 0.072123227
## 731 0.146984127 0.074349206 0.023016243
## 732 0.135396825 0.086158730 0.071058297
## 733 0.151587302 0.027777778 0.023939939
## 734 0.128730159 0.054666667 0.019423417
## 735 0.133333333 0.018507937 0.020509568
## 736 0.096825397 0.017015873 0.013941405
## 737 0.525000000 0.063833333 0.063833333
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## 758 0.206250000 0.013333333 0.013333333
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## 760 0.145833333 0.025750000 0.025750000
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## 766 0.117791563 0.006004963 0.006004963
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## 768 0.229508197 0.010163934 0.010163934
## 769 0.168085106 0.002411348 0.002411348
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## 771 0.101758794 0.005854271 0.005854271
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## 773 0.168085106 0.002411348 0.002411348
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## 775 0.101758794 0.005854271 0.005854271
## 776 0.104656319 0.005920177 0.005920177
## 777 0.104656319 0.005920177 0.005920177
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## 779 0.486250000 0.145000000 0.183847763
## 780 0.477500000 0.162625000 0.173241161
## 781 0.458750000 0.081375000 0.208596501
## 782 0.477500000 0.183875000 0.258093975
## 783 0.481250000 0.222750000 0.226274170
## 784 0.451250000 0.137875000 0.208596501
## 785 0.403750000 0.159125000 0.106066017
## 786 0.372500000 0.148500000 0.134350288
## 787 0.376250000 0.152000000 0.106066017
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## 789 0.511250000 0.261625000 0.180312229
## 790 0.498750000 0.077750000 0.180312229
## 791 0.460000000 0.325250000 0.120208153
## 792 0.438750000 0.099000000 0.148492424
## 793 0.455000000 0.173250000 0.183847763
## 794 0.433750000 0.137875000 0.176776695
## 795 0.385000000 0.148500000 0.095459415
## 796 0.441250000 0.056625000 0.137885822
## 797 0.436250000 0.176750000 0.152027958
## 798 0.483750000 0.187375000 0.148492424
## 799 0.461250000 0.134375000 0.155563492
## 800 0.470000000 0.183875000 0.141421356
## 801 0.431250000 0.081375000 0.109601551
## 802 0.427500000 0.173250000 0.141421356
## 803 0.456250000 0.109625000 0.127279221
## 804 0.256557377 0.028688525 0.028688525
## 805 0.237828947 0.013289474 0.013289474
## 806 0.104794521 0.017726027 0.017726027
## 807 0.107186858 0.010841889 0.010841889
## 808 0.376229508 0.003934426 0.003934426
## 809 0.261842105 0.032500000 0.032500000
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## 811 0.120123203 0.009425051 0.009425051
## 812 0.437704918 0.035901639 0.035901639
## 813 0.303618421 0.022763158 0.022763158
## 814 0.135616438 0.012328767 0.012328767
## 815 0.131416838 0.002381930 0.002381930
## 816 0.074434247 0.004164384 0.004164384
## 817 0.075608219 0.002054795 0.002054795
## 818 0.082260274 0.004643836 0.004643836
## 819 0.075105479 0.001068493 0.001068493
## 820 0.081753425 0.000589041 0.000589041
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## 822 0.075049315 0.003123288 0.003123288
## 823 0.079487671 0.005356164 0.005356164
## 824 0.080269863 0.001767123 0.001767123
## 825 0.079934247 0.002794521 0.002794521
## 826 0.078684932 0.001164384 0.001164384
## 827 0.058579452 0.001397260 0.001397260
## 828 0.055856164 0.002602740 0.002602740
## 829 0.062656849 0.006315068 0.006315068
## 830 0.068710959 0.000342466 0.000342466
## 831 0.075510959 0.000479452 0.000479452
## 832 0.072788356 0.008958904 0.008958904
## 833 0.061047945 0.002972603 0.002972603
## 834 0.065582192 0.004095890 0.004095890
## 835 0.063767123 0.002904110 0.002904110
## 836 0.072336986 0.002123288 0.002123288
## 837 0.065683562 0.008000000 0.008000000
## 838 0.083150000 0.006205479 0.006205479
## 839 0.081894521 0.004191781 0.004191781
## 840 0.091217808 0.001794521 0.001794521
## 841 0.075699315 0.005383562 0.005383562
## 842 0.085022603 0.002808219 0.002808219
## 843 0.083767123 0.006835616 0.006835616
## 844 0.080247945 0.002287671 0.002287671
## 845 0.086463014 0.000315068 0.000315068
## 846 0.085626027 0.003684932 0.003684932
## 847 0.081493151 0.002575342 0.002575342
## 848 0.083458904 0.002410959 0.002410959
## 849 0.070033562 0.006520548 0.006520548
## 850 0.066268493 0.000328767 0.000328767
## 851 0.065541781 0.000369863 0.000369863
## 852 0.075931507 0.002753425 0.002753425
## 853 0.075205479 0.000191781 0.000191781
## 854 0.071440411 0.004739726 0.004739726
## 855 0.070739726 0.008671233 0.008671233
## 856 0.070260274 0.005945205 0.005945205
## 857 0.067750685 0.007315068 0.007315068
## 858 0.074193151 0.002164384 0.002164384
## 859 0.070798630 0.009246575 0.009246575
## 860 0.008024691 0.014814815 0.014814815
## 861 0.075198413 0.009523810 0.009523810
## 862 0.098841642 0.001642229 0.001642229
## 863 0.068022581 0.006209677 0.006209677
## 864 0.067563739 0.004376771 0.004376771
## 865 0.056048299 0.001317234 0.001317234
## 866 0.054793138 0.000696266 0.000696266
## 867 0.055009328 0.014412313 0.014412313## yi vi sei zi pval ci.lb ci.ub
## 1 -0.0900 0.0059 0.0771 -1.1677 0.2429 -0.2412 0.0611
## 2 -0.0427 0.0016 0.0401 -1.0652 0.2868 -0.1212 0.0359
## 3 -0.0508 0.0078 0.0884 -0.5745 0.5656 -0.2240 0.1224
## 4 -0.0263 0.0112 0.1058 -0.2486 0.8037 -0.2336 0.1811
## 5 -0.0183 0.0065 0.0805 -0.2267 0.8206 -0.1761 0.1395
## 6 -0.0096 0.0050 0.0707 -0.1356 0.8921 -0.1482 0.1290
## 7 -0.0584 0.0056 0.0750 -0.7793 0.4358 -0.2054 0.0885
## 8 -0.0596 0.0027 0.0515 -1.1564 0.2475 -0.1605 0.0414
## 9 -0.0765 0.0023 0.0477 -1.6043 0.1087 -0.1699 0.0170
## 10 -0.0724 0.0057 0.0754 -0.9605 0.3368 -0.2202 0.0754
## 11 -0.0383 0.0029 0.0537 -0.7130 0.4759 -0.1434 0.0669
## 12 -0.1102 0.0046 0.0676 -1.6286 0.1034 -0.2427 0.0224
## 13 -0.1367 0.0081 0.0900 -1.5189 0.1288 -0.3130 0.0397
## 14 -0.2829 0.0076 0.0872 -3.2438 0.0012 -0.4538 -0.1120
## 15 -0.1850 0.0071 0.0841 -2.1995 0.0278 -0.3499 -0.0201
## 16 0.0394 0.0159 0.1260 0.3128 0.7544 -0.2075 0.2864
## 17 -0.2681 0.0093 0.0962 -2.7875 0.0053 -0.4567 -0.0796
## 18 -0.2718 0.0069 0.0832 -3.2685 0.0011 -0.4348 -0.1088
## 19 -0.0608 0.0060 0.0775 -0.7842 0.4329 -0.2127 0.0911
## 20 -0.2642 0.0063 0.0791 -3.3386 0.0008 -0.4192 -0.1091
## 21 -0.1940 0.0044 0.0660 -2.9388 0.0033 -0.3234 -0.0646
## 22 -0.0402 0.0025 0.0496 -0.8109 0.4174 -0.1375 0.0570
## 23 -0.0813 0.0039 0.0623 -1.3034 0.1924 -0.2035 0.0409
## 24 -0.1105 0.0040 0.0633 -1.7465 0.0807 -0.2345 0.0135
## 25 -0.2484 0.0120 0.1097 -2.2649 0.0235 -0.4634 -0.0334
## 26 -0.0402 0.0003 0.0175 -2.2994 0.0215 -0.0745 -0.0059
## 27 -0.0118 0.0000 0.0051 -2.3057 0.0211 -0.0218 -0.0018
## 28 -0.0920 0.0016 0.0400 -2.3014 0.0214 -0.1703 -0.0136
## 29 -0.0435 0.0004 0.0189 -2.3060 0.0211 -0.0804 -0.0065
## 30 -0.0726 0.0010 0.0315 -2.3060 0.0211 -0.1344 -0.0109
## 31 -0.2764 0.0151 0.1228 -2.2518 0.0243 -0.5170 -0.0358
## 32 -0.2149 0.0089 0.0945 -2.2752 0.0229 -0.4001 -0.0298
## 33 -0.1898 0.0069 0.0832 -2.2824 0.0225 -0.3529 -0.0268
## 34 -0.1303 0.0032 0.0569 -2.2913 0.0219 -0.2418 -0.0188
## 35 -0.0727 0.0010 0.0315 -2.3070 0.0211 -0.1345 -0.0109
## 36 -0.0654 0.0008 0.0284 -2.3046 0.0212 -0.1209 -0.0098
## 37 0.0211 0.0001 0.0090 2.3418 0.0192 0.0034 0.0387
## 38 -0.1757 0.0059 0.0768 -2.2880 0.0221 -0.3261 -0.0252
## 39 -0.0339 0.0011 0.0338 -1.0013 0.3167 -0.1001 0.0324
## 40 0.0033 0.0000 0.0014 2.3278 0.0199 0.0005 0.0061
## 41 0.0525 0.0005 0.0228 2.2970 0.0216 0.0077 0.0972
## 42 -0.0020 0.0000 0.0009 -2.2023 0.0276 -0.0037 -0.0002
## 43 0.3402 0.0203 0.1425 2.3878 0.0169 0.0610 0.6195
## 44 0.0501 0.0103 0.1013 0.4943 0.6211 -0.1485 0.2486
## 45 0.1167 0.0104 0.1022 1.1414 0.2537 -0.0837 0.3170
## 46 -0.0868 0.0038 0.0616 -1.4091 0.1588 -0.2076 0.0339
## 47 0.6337 0.0126 0.1122 5.6466 <.0001 0.4138 0.8537
## 48 0.5856 0.0259 0.1610 3.6383 0.0003 0.2701 0.9011
## 49 0.4760 0.0341 0.1846 2.5777 0.0099 0.1141 0.8378
## 50 0.1593 0.0065 0.0806 1.9772 0.0480 0.0014 0.3172
## 51 -0.0800 0.0235 0.1534 -0.5217 0.6019 -0.3808 0.2207
## 52 0.1459 0.0216 0.1468 0.9934 0.3205 -0.1419 0.4336
## 53 0.1761 0.0127 0.1129 1.5593 0.1189 -0.0452 0.3973
## 54 -0.0642 0.0042 0.0645 -0.9945 0.3200 -0.1906 0.0623
## 55 0.3048 0.0188 0.1370 2.2246 0.0261 0.0363 0.5733
## 56 0.2156 0.0224 0.1497 1.4400 0.1499 -0.0779 0.5091
## 57 0.0705 0.0074 0.0862 0.8182 0.4133 -0.0984 0.2395
## 58 0.0755 0.0077 0.0876 0.8619 0.3887 -0.0962 0.2473
## 59 -0.0230 0.0063 0.0796 -0.2890 0.7726 -0.1789 0.1329
## 60 -0.0220 0.0043 0.0655 -0.3357 0.7371 -0.1503 0.1063
## 61 -0.0933 0.0002 0.0131 -7.1286 <.0001 -0.1190 -0.0677
## 62 0.0493 0.0000 0.0069 7.1566 <.0001 0.0358 0.0627
## 63 0.1159 0.0003 0.0164 7.0699 <.0001 0.0837 0.1480
## 64 0.1428 0.0004 0.0202 7.0654 <.0001 0.1032 0.1824
## 65 0.1410 0.0004 0.0199 7.0877 <.0001 0.1020 0.1799
## 66 0.1175 0.0003 0.0167 7.0559 <.0001 0.0849 0.1501
## 67 0.0023 0.0000 0.0004 5.5340 <.0001 0.0015 0.0031
## 68 -0.0546 0.0001 0.0076 -7.2019 <.0001 -0.0695 -0.0398
## 69 0.1611 0.0005 0.0228 7.0794 <.0001 0.1165 0.2057
## 70 0.2544 0.0013 0.0363 7.0018 <.0001 0.1832 0.3256
## 71 0.1086 0.0002 0.0154 7.0623 <.0001 0.0784 0.1387
## 72 0.0595 0.0001 0.0083 7.1830 <.0001 0.0433 0.0757
## 73 -0.0219 0.0000 0.0030 -7.2536 <.0001 -0.0278 -0.0160
## 74 0.0632 0.0001 0.0089 7.1069 <.0001 0.0458 0.0806
## 75 0.2420 0.0012 0.0345 7.0038 <.0001 0.1742 0.3097
## 76 0.0436 0.0000 0.0060 7.2593 <.0001 0.0318 0.0554
## 77 0.0803 0.0001 0.0113 7.0774 <.0001 0.0581 0.1026
## 78 -0.0113 0.0000 0.0016 -7.0019 <.0001 -0.0145 -0.0081
## 79 0.2128 0.0009 0.0303 7.0290 <.0001 0.1535 0.2721
## 80 0.0490 0.0000 0.0068 7.1979 <.0001 0.0357 0.0624
## 81 0.0273 0.0000 0.0039 6.9699 <.0001 0.0196 0.0350
## 82 0.2890 0.0017 0.0416 6.9507 <.0001 0.2075 0.3705
## 83 0.1553 0.0005 0.0219 7.0839 <.0001 0.1123 0.1982
## 84 0.2370 0.0011 0.0339 6.9980 <.0001 0.1706 0.3034
## 85 0.2066 0.0009 0.0293 7.0406 <.0001 0.1491 0.2641
## 86 0.2717 0.0015 0.0389 6.9790 <.0001 0.1954 0.3480
## 87 0.1612 0.0005 0.0228 7.0616 <.0001 0.1165 0.2060
## 88 0.3120 0.0020 0.0450 6.9294 <.0001 0.2237 0.4002
## 89 0.5717 0.0655 0.2558 2.2346 0.0254 0.0703 1.0731
## 90 0.0239 0.0001 0.0099 2.4083 0.0160 0.0045 0.0434
## 91 -0.1858 0.0059 0.0767 -2.4227 0.0154 -0.3361 -0.0355
## 92 -0.0953 0.0003 0.0172 -5.5523 <.0001 -0.1290 -0.0617
## 93 0.2007 0.0013 0.0365 5.5024 <.0001 0.1292 0.2722
## 94 -0.1178 0.0005 0.0212 -5.5446 <.0001 -0.1594 -0.0761
## 95 -0.0870 0.0002 0.0157 -5.5548 <.0001 -0.1177 -0.0563
## 96 -0.0931 0.0003 0.0168 -5.5530 <.0001 -0.1259 -0.0602
## 97 -0.0313 0.0000 0.0056 -5.5654 <.0001 -0.0423 -0.0202
## 98 -0.0690 0.1353 0.3678 -0.1876 0.8512 -0.7899 0.6519
## 99 -0.0625 0.0331 0.1818 -0.3438 0.7310 -0.4189 0.2939
## 100 0.0282 0.0220 0.1482 0.1900 0.8493 -0.2624 0.3187
## 101 0.0690 0.0319 0.1785 0.3866 0.6991 -0.2808 0.4188
## 102 -0.0770 0.0997 0.3158 -0.2437 0.8075 -0.6959 0.5420
## 103 -0.0417 0.0254 0.1593 -0.2617 0.7936 -0.3538 0.2705
## 104 0.0000 0.0147 0.1214 0.0000 1.0000 -0.2379 0.2379
## 105 -0.1121 0.0203 0.1423 -0.7878 0.4308 -0.3910 0.1668
## 106 -0.1823 0.0507 0.2251 -0.8100 0.4179 -0.6235 0.2588
## 107 -0.1178 0.0317 0.1781 -0.6615 0.5083 -0.4668 0.2312
## 108 -0.0220 0.0170 0.1305 -0.1684 0.8662 -0.2777 0.2338
## 109 -0.0190 0.0194 0.1393 -0.1368 0.8912 -0.2920 0.2539
## 110 -0.1671 0.1476 0.3842 -0.4348 0.6637 -0.9202 0.5861
## 111 0.0000 0.0293 0.1711 0.0000 1.0000 -0.3354 0.3354
## 112 0.0253 0.0120 0.1093 0.2316 0.8169 -0.1890 0.2396
## 113 -0.0385 0.0200 0.1413 -0.2722 0.7855 -0.3154 0.2385
## 114 -0.2364 0.0872 0.2953 -0.8005 0.4234 -0.8152 0.3424
## 115 -0.1512 0.0227 0.1507 -1.0037 0.3155 -0.4465 0.1441
## 116 -0.0902 0.0093 0.0964 -0.9348 0.3499 -0.2792 0.0989
## 117 0.0000 0.0061 0.0779 0.0000 1.0000 -0.1526 0.1526
## 118 -0.2683 0.0814 0.2854 -0.9401 0.3472 -0.8275 0.2910
## 119 -0.1100 0.0247 0.1571 -0.7003 0.4837 -0.4178 0.1978
## 120 -0.0632 0.0116 0.1077 -0.5867 0.5574 -0.2742 0.1479
## 121 0.0333 0.0137 0.1172 0.2844 0.7761 -0.1964 0.2631
## 122 -0.1759 0.0058 0.0764 -2.3021 0.0213 -0.3256 -0.0261
## 123 -0.4073 0.0342 0.1849 -2.2032 0.0276 -0.7696 -0.0450
## 124 -0.1068 0.0022 0.0464 -2.3013 0.0214 -0.1977 -0.0158
## 125 0.1381 0.0036 0.0602 2.2936 0.0218 0.0201 0.2561
## 126 -0.1325 0.0033 0.0577 -2.2948 0.0217 -0.2456 -0.0193
## 127 -1.0424 0.3566 0.5971 -1.7456 0.0809 -2.2128 0.1280
## 128 0.0329 0.0002 0.0142 2.3145 0.0206 0.0050 0.0607
## 129 -0.1979 0.0075 0.0868 -2.2797 0.0226 -0.3681 -0.0278
## 130 -0.0807 0.0012 0.0351 -2.2993 0.0215 -0.1494 -0.0119
## 131 -0.0380 0.0003 0.0165 -2.3002 0.0214 -0.0705 -0.0056
## 132 -0.2724 0.0146 0.1210 -2.2508 0.0244 -0.5096 -0.0352
## 133 -0.3313 0.0220 0.1482 -2.2362 0.0253 -0.6217 -0.0409
## 134 -0.1589 0.0048 0.0694 -2.2896 0.0220 -0.2949 -0.0229
## 135 -0.0986 0.0018 0.0428 -2.3011 0.0214 -0.1825 -0.0146
## 136 -0.0686 0.0009 0.0298 -2.3030 0.0213 -0.1269 -0.0102
## 137 -0.0248 0.0019 0.0431 -0.5746 0.5656 -0.1093 0.0598
## 138 0.0569 0.0039 0.0624 0.9116 0.3620 -0.0654 0.1791
## 139 0.0201 0.0022 0.0469 0.4283 0.6685 -0.0718 0.1119
## 140 -0.1513 0.0020 0.0451 -3.3554 0.0008 -0.2397 -0.0629
## 141 -0.2938 0.0453 0.2129 -1.3804 0.1675 -0.7110 0.1234
## 142 -0.2036 0.0192 0.1385 -1.4706 0.1414 -0.4750 0.0678
## 143 -0.1393 0.0109 0.1044 -1.3347 0.1820 -0.3439 0.0653
## 144 -0.0545 0.0284 0.1686 -0.3230 0.7467 -0.3849 0.2760
## 145 -0.1214 0.0364 0.1907 -0.6366 0.5244 -0.4951 0.2523
## 146 -0.0943 0.0167 0.1292 -0.7303 0.4652 -0.3476 0.1589
## 147 -0.0048 0.0116 0.1077 -0.0450 0.9641 -0.2159 0.2062
## 148 -0.0504 0.0878 0.2964 -0.1701 0.8649 -0.6313 0.5304
## 149 -0.1915 0.0157 0.1252 -1.5287 0.1263 -0.4369 0.0540
## 150 -0.2411 0.0582 0.2413 -0.9993 0.3177 -0.7141 0.2318
## 151 -0.4796 0.0158 0.1258 -3.8114 0.0001 -0.7263 -0.2330
## 152 0.1035 0.0029 0.0540 1.9171 0.0552 -0.0023 0.2092
## 153 0.0252 0.0100 0.0999 0.2527 0.8005 -0.1705 0.2210
## 154 0.2350 0.0022 0.0470 5.0059 <.0001 0.1430 0.3271
## 155 0.1362 0.0012 0.0351 3.8813 0.0001 0.0674 0.2050
## 156 -0.0062 0.0034 0.0581 -0.1071 0.9147 -0.1200 0.1076
## 157 0.0376 0.0016 0.0404 0.9320 0.3513 -0.0415 0.1167
## 158 -0.0574 0.0010 0.0315 -1.8231 0.0683 -0.1191 0.0043
## 159 0.1633 0.0010 0.0318 5.1417 <.0001 0.1011 0.2256
## 160 0.1208 0.0008 0.0291 4.1553 <.0001 0.0638 0.1778
## 161 0.0820 0.0007 0.0258 3.1844 0.0015 0.0315 0.1325
## 162 0.2185 0.0036 0.0603 3.6248 0.0003 0.1004 0.3366
## 163 0.1883 0.0028 0.0524 3.5912 0.0003 0.0855 0.2911
## 164 0.1000 0.0014 0.0378 2.6448 0.0082 0.0259 0.1741
## 165 0.0065 0.0005 0.0213 0.3044 0.7608 -0.0353 0.0482
## 166 0.1795 0.0007 0.0261 6.8843 <.0001 0.1284 0.2306
## 167 0.1019 0.0005 0.0219 4.6445 <.0001 0.0589 0.1449
## 168 0.0647 0.0008 0.0288 2.2486 0.0245 0.0083 0.1210
## 169 0.0323 0.0011 0.0326 0.9915 0.3214 -0.0316 0.0962
## 170 0.0509 0.0009 0.0295 1.7266 0.0842 -0.0069 0.1086
## 171 0.1307 0.0009 0.0294 4.4500 <.0001 0.0732 0.1883
## 172 0.0290 0.0006 0.0255 1.1383 0.2550 -0.0209 0.0789
## 173 0.0206 0.0018 0.0424 0.4848 0.6278 -0.0626 0.1037
## 174 0.1106 0.0005 0.0231 4.7802 <.0001 0.0652 0.1559
## 175 0.0932 0.0018 0.0429 2.1735 0.0297 0.0092 0.1772
## 176 0.1986 0.0257 0.1603 1.2390 0.2154 -0.1156 0.5127
## 177 -0.1605 0.0045 0.0669 -2.3995 0.0164 -0.2916 -0.0294
## 178 0.0384 0.0013 0.0355 1.0814 0.2795 -0.0312 0.1079
## 179 -0.0286 0.0029 0.0535 -0.5354 0.5924 -0.1334 0.0762
## 180 0.1597 0.0046 0.0679 2.3526 0.0186 0.0267 0.2928
## 181 -0.0922 0.0062 0.0789 -1.1682 0.2427 -0.2468 0.0625
## 182 -0.0958 0.0015 0.0382 -2.5097 0.0121 -0.1705 -0.0210
## 183 -0.0617 0.0024 0.0485 -1.2722 0.2033 -0.1568 0.0334
## 184 0.0122 0.0000 0.0065 1.8865 0.0592 -0.0005 0.0249
## 185 0.0688 0.0010 0.0315 2.1868 0.0288 0.0071 0.1305
## 186 0.0000 0.0000 0.0020 0.0000 1.0000 -0.0039 0.0039
## 187 -0.0434 0.0004 0.0203 -2.1389 0.0324 -0.0832 -0.0036
## 188 -0.0901 0.0017 0.0408 -2.2095 0.0271 -0.1700 -0.0102
## 189 0.1318 0.0038 0.0614 2.1470 0.0318 0.0115 0.2521
## 190 -0.0990 0.0025 0.0495 -1.9979 0.0457 -0.1960 -0.0019
## 191 0.0619 0.0009 0.0308 2.0101 0.0444 0.0015 0.1223
## 192 0.0000 0.0000 0.0002 0.0000 1.0000 -0.0005 0.0005
## 193 -0.0303 0.0002 0.0150 -2.0187 0.0435 -0.0597 -0.0009
## 194 0.0909 0.0678 0.2604 0.3492 0.7270 -0.4194 0.6012
## 195 0.1098 0.0199 0.1412 0.7779 0.4366 -0.1669 0.3866
## 196 0.0307 0.0132 0.1147 0.2677 0.7889 -0.1941 0.2555
## 197 0.0210 0.0061 0.0783 0.2686 0.7883 -0.1324 0.1745
## 198 0.0310 0.0038 0.0614 0.5049 0.6136 -0.0893 0.1513
## 199 0.0366 0.0015 0.0388 0.9432 0.3456 -0.0395 0.1127
## 200 0.0801 0.0107 0.1036 0.7726 0.4398 -0.1231 0.2832
## 201 0.0151 0.0067 0.0822 0.1832 0.8546 -0.1460 0.1761
## 202 0.0361 0.0075 0.0868 0.4153 0.6779 -0.1341 0.2062
## 203 0.1016 0.0075 0.0867 1.1724 0.2410 -0.0683 0.2715
## 204 0.0207 0.0047 0.0689 0.3010 0.7634 -0.1143 0.1557
## 205 -0.1022 0.0045 0.0674 -1.5171 0.1292 -0.2342 0.0298
## 206 -0.0122 0.0050 0.0708 -0.1723 0.8632 -0.1510 0.1266
## 207 -0.0297 0.0030 0.0545 -0.5448 0.5859 -0.1366 0.0772
## 208 -0.0175 0.0045 0.0670 -0.2618 0.7935 -0.1489 0.1138
## 209 0.0606 0.0069 0.0833 0.7271 0.4671 -0.1027 0.2238
## 210 0.1018 0.0066 0.0813 1.2519 0.2106 -0.0576 0.2612
## 211 0.0710 0.0156 0.1248 0.5690 0.5694 -0.1735 0.3155
## 212 -0.0016 0.0423 0.2056 -0.0080 0.9936 -0.4046 0.4013
## 213 0.0641 0.0100 0.1002 0.6402 0.5220 -0.1322 0.2605
## 214 0.1003 0.0398 0.1994 0.5028 0.6151 -0.2905 0.4910
## 215 0.0855 0.0186 0.1362 0.6273 0.5304 -0.1816 0.3525
## 216 0.0209 0.0000 0.0032 6.5445 <.0001 0.0146 0.0271
## 217 0.0544 0.0000 0.0009 58.5675 <.0001 0.0526 0.0562
## 218 0.0344 0.0000 0.0009 37.2649 <.0001 0.0326 0.0362
## 219 0.0336 0.0000 0.0018 18.6276 <.0001 0.0301 0.0371
## 220 0.0876 0.0000 0.0014 62.1629 <.0001 0.0848 0.0904
## 221 0.0393 0.0000 0.0008 46.2680 <.0001 0.0376 0.0409
## 222 -0.3293 0.0000 0.0005 -670.9222 <.0001 -0.3303 -0.3284
## 223 -0.4145 0.0000 0.0007 -615.1735 <.0001 -0.4159 -0.4132
## 224 -0.2402 0.0000 0.0012 -205.0770 <.0001 -0.2425 -0.2379
## 225 -0.3945 0.0000 0.0006 -696.4463 <.0001 -0.3956 -0.3934
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## 413 -0.0757 0.4230 0.6504 -0.1164 0.9073 -1.3505 1.1991
## 414 0.7753 0.3282 0.5729 1.3533 0.1759 -0.3475 1.8981
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## 438 -0.5387 0.3492 0.5909 -0.9116 0.3620 -1.6969 0.6196
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## 459 0.0681 0.4446 0.6668 0.1021 0.9187 -1.2388 1.3749
## 460 0.0691 0.2362 0.4860 0.1422 0.8869 -0.8834 1.0216
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## 462 -0.0685 0.0753 0.2743 -0.2499 0.8027 -0.6062 0.4691
## 463 -0.2516 0.2125 0.4610 -0.5458 0.5852 -1.1552 0.6519
## 464 -0.0875 0.0297 0.1722 -0.5082 0.6113 -0.4251 0.2500
## 465 0.1345 0.0943 0.3070 0.4382 0.6612 -0.4672 0.7363
## 466 -0.0097 0.0657 0.2563 -0.0379 0.9698 -0.5120 0.4926
## 467 -0.2898 0.2205 0.4696 -0.6172 0.5371 -1.2102 0.6305
## 468 -0.2397 0.1703 0.4126 -0.5809 0.5613 -1.0484 0.5690
## 469 -0.1747 0.0419 0.2048 -0.8532 0.3936 -0.5761 0.2267
## 470 -0.0379 0.0800 0.2828 -0.1341 0.8933 -0.5921 0.5163
## 471 -0.1890 0.1450 0.3808 -0.4963 0.6197 -0.9352 0.5573
## 472 0.0940 0.0386 0.1965 0.4785 0.6323 -0.2912 0.4793
## 473 -0.2524 0.1058 0.3252 -0.7762 0.4376 -0.8898 0.3849
## 474 0.0342 0.0937 0.3061 0.1118 0.9110 -0.5657 0.6342
## 475 0.2719 2.0917 1.4463 0.1880 0.8509 -2.5627 3.1066
## 476 -0.2422 0.3412 0.5842 -0.4146 0.6784 -1.3871 0.9027
## 477 -0.1154 0.2285 0.4780 -0.2413 0.8093 -1.0522 0.8215
## 478 -0.1415 0.1234 0.3512 -0.4028 0.6871 -0.8299 0.5469
## 479 -0.4065 0.2687 0.5184 -0.7841 0.4330 -1.4225 0.6096
## 480 -0.3286 0.0693 0.2632 -1.2484 0.2119 -0.8446 0.1873
## 481 -0.0092 0.1494 0.3865 -0.0238 0.9810 -0.7668 0.7484
## 482 -0.1072 0.0500 0.2236 -0.4795 0.6316 -0.5455 0.3311
## 483 -0.3139 0.3092 0.5560 -0.5646 0.5724 -1.4037 0.7759
## 484 -0.1214 0.1140 0.3377 -0.3595 0.7193 -0.7832 0.5405
## 485 -0.1964 0.1439 0.3793 -0.5178 0.6046 -0.9398 0.5470
## 486 0.0415 0.0576 0.2400 0.1731 0.8626 -0.4288 0.5119
## 487 -0.2568 0.3031 0.5505 -0.4664 0.6410 -1.3358 0.8223
## 488 -0.1139 0.0796 0.2822 -0.4035 0.6866 -0.6669 0.4392
## 489 -0.0188 0.1483 0.3851 -0.0489 0.9610 -0.7736 0.7360
## 490 -0.0740 0.0507 0.2252 -0.3287 0.7424 -0.5154 0.3674
## 491 -0.9689 0.4849 0.6964 -1.3913 0.1641 -2.3338 0.3960
## 492 -0.7056 0.1747 0.4179 -1.6883 0.0914 -1.5247 0.1135
## 493 -0.6748 0.1382 0.3717 -1.8155 0.0695 -1.4034 0.0537
## 494 -0.2985 0.0922 0.3036 -0.9834 0.3254 -0.8935 0.2965
## 495 -0.6501 0.5243 0.7241 -0.8978 0.3693 -2.0692 0.7691
## 496 -0.2462 0.1878 0.4333 -0.5681 0.5700 -1.0955 0.6031
## 497 -0.3780 0.1775 0.4213 -0.8972 0.3696 -1.2037 0.4477
## 498 -0.1487 0.0958 0.3094 -0.4805 0.6309 -0.7552 0.4578
## 499 -0.8654 1.2175 1.1034 -0.7843 0.4329 -3.0281 1.2973
## 500 -0.4796 0.2138 0.4623 -1.0374 0.2995 -1.3858 0.4265
## 501 -0.4702 0.2430 0.4929 -0.9539 0.3401 -1.4363 0.4959
## 502 0.2642 0.1730 0.4159 0.6352 0.5253 -0.5510 1.0794
## 503 -0.5170 2.3909 1.5462 -0.3343 0.7381 -3.5476 2.5136
## 504 -0.3442 0.2396 0.4895 -0.7033 0.4819 -1.3037 0.6152
## 505 -0.2443 0.2607 0.5106 -0.4784 0.6324 -1.2451 0.7565
## 506 -0.2532 0.1222 0.3496 -0.7243 0.4689 -0.9385 0.4320
## 507 -0.6108 0.3503 0.5919 -1.0320 0.3021 -1.7709 0.5493
## 508 -0.4076 0.1248 0.3533 -1.1535 0.2487 -1.1000 0.2849
## 509 -0.4301 0.2229 0.4721 -0.9111 0.3622 -1.3554 0.4951
## 510 -0.2070 0.0721 0.2684 -0.7711 0.4406 -0.7331 0.3191
## 511 0.3656 0.4097 0.6400 0.5713 0.5678 -0.8888 1.6201
## 512 -0.0682 0.1095 0.3309 -0.2061 0.8367 -0.7168 0.5804
## 513 0.2141 0.1029 0.3208 0.6673 0.5046 -0.4146 0.8427
## 514 0.4458 0.0646 0.2542 1.7541 0.0794 -0.0523 0.9440
## 515 -0.1124 0.0011 0.0336 -3.3418 0.0008 -0.1783 -0.0465
## 516 0.0036 0.0012 0.0343 0.1040 0.9172 -0.0637 0.0709
## 517 0.0433 0.0014 0.0371 1.1669 0.2432 -0.0294 0.1160
## 518 -0.0565 0.0012 0.0349 -1.6203 0.1052 -0.1249 0.0118
## 519 -0.1188 0.0012 0.0340 -3.4912 0.0005 -0.1856 -0.0521
## 520 0.0243 0.0012 0.0351 0.6926 0.4885 -0.0445 0.0931
## 521 -0.0460 0.0014 0.0377 -1.2192 0.2228 -0.1199 0.0279
## 522 -0.0940 0.0013 0.0356 -2.6411 0.0083 -0.1638 -0.0242
## 523 -0.1096 0.0012 0.0345 -3.1739 0.0015 -0.1774 -0.0419
## 524 -0.0018 0.0012 0.0345 -0.0509 0.9594 -0.0693 0.0658
## 525 -0.0300 0.0014 0.0370 -0.8107 0.4175 -0.1024 0.0425
## 526 -0.0491 0.0013 0.0361 -1.3605 0.1737 -0.1197 0.0216
## 527 -0.0833 0.0013 0.0355 -2.3438 0.0191 -0.1530 -0.0136
## 528 0.0524 0.0013 0.0359 1.4615 0.1439 -0.0179 0.1227
## 529 0.0545 0.0015 0.0385 1.4140 0.1574 -0.0210 0.1301
## 530 -0.0411 0.0013 0.0365 -1.1260 0.2602 -0.1126 0.0304
## 531 -0.0994 0.0011 0.0336 -2.9599 0.0031 -0.1652 -0.0336
## 532 -0.0153 0.0012 0.0348 -0.4408 0.6593 -0.0835 0.0529
## 533 -0.0140 0.0013 0.0364 -0.3849 0.7003 -0.0854 0.0574
## 534 -0.0828 0.0012 0.0345 -2.3990 0.0164 -0.1505 -0.0152
## 535 -0.0594 0.0013 0.0357 -1.6640 0.0961 -0.1294 0.0106
## 536 0.0018 0.0013 0.0358 0.0495 0.9605 -0.0684 0.0719
## 537 -0.0613 0.0014 0.0372 -1.6469 0.0996 -0.1343 0.0117
## 538 -0.0489 0.0013 0.0367 -1.3329 0.1826 -0.1207 0.0230
## 539 0.0639 0.1037 0.3221 0.1985 0.8427 -0.5674 0.6952
## 540 0.0192 0.0316 0.1777 0.1079 0.9141 -0.3290 0.3674
## 541 0.0380 0.0468 0.2164 0.1757 0.8606 -0.3862 0.4622
## 542 0.0853 0.0450 0.2122 0.4018 0.6878 -0.3306 0.5011
## 543 -0.0099 0.0000 0.0051 -1.9162 0.0553 -0.0199 0.0002
## 544 -0.1258 0.0042 0.0651 -1.9328 0.0533 -0.2534 0.0018
## 545 -0.2180 0.0129 0.1137 -1.9175 0.0552 -0.4409 0.0048
## 546 -0.2787 0.0215 0.1467 -1.9002 0.0574 -0.5661 0.0088
## 547 -0.1149 0.0035 0.0594 -1.9346 0.0530 -0.2313 0.0015
## 548 -0.1338 0.0048 0.0693 -1.9321 0.0533 -0.2696 0.0019
## 549 -0.1328 0.0047 0.0686 -1.9351 0.0530 -0.2673 0.0017
## 550 -0.2135 0.0124 0.1113 -1.9175 0.0552 -0.4317 0.0047
## 551 -0.0519 0.0007 0.0267 -1.9477 0.0515 -0.1041 0.0003
## 552 0.0137 0.0001 0.0072 1.9150 0.0555 -0.0003 0.0278
## 553 0.0399 0.0004 0.0205 1.9476 0.0515 -0.0003 0.0801
## 554 0.0267 0.0002 0.0136 1.9650 0.0494 0.0001 0.0534
## 555 0.0681 0.0012 0.0350 1.9419 0.0521 -0.0006 0.1367
## 556 0.1183 0.0037 0.0611 1.9349 0.0530 -0.0015 0.2382
## 557 -0.0711 0.0013 0.0366 -1.9427 0.0521 -0.1428 0.0006
## 558 0.0107 0.0000 0.0054 1.9983 0.0457 0.0002 0.0212
## 559 0.0113 0.0000 0.0056 1.9983 0.0457 0.0002 0.0223
## 560 -0.1049 0.0029 0.0542 -1.9378 0.0526 -0.2111 0.0012
## 561 -0.0667 0.0012 0.0345 -1.9348 0.0530 -0.1343 0.0009
## 562 -0.1591 0.0068 0.0825 -1.9284 0.0538 -0.3207 0.0026
## 563 -0.1591 0.0068 0.0825 -1.9284 0.0538 -0.3207 0.0026
## 564 0.0683 0.0012 0.0352 1.9367 0.0528 -0.0008 0.1374
## 565 -0.0299 0.0002 0.0155 -1.9280 0.0539 -0.0602 0.0005
## 566 -0.0633 0.0011 0.0325 -1.9453 0.0517 -0.1270 0.0005
## 567 -0.0958 0.0024 0.0495 -1.9363 0.0528 -0.1928 0.0012
## 568 -0.0726 0.0014 0.0374 -1.9381 0.0526 -0.1460 0.0008
## 569 -0.1086 0.0031 0.0561 -1.9370 0.0528 -0.2186 0.0013
## 570 0.0408 0.0004 0.0212 1.9275 0.0539 -0.0007 0.0823
## 571 0.0896 0.0021 0.0462 1.9416 0.0522 -0.0008 0.1801
## 572 -0.0451 0.0005 0.0234 -1.9273 0.0539 -0.0910 0.0008
## 573 0.0634 0.0011 0.0327 1.9423 0.0521 -0.0006 0.1274
## 574 0.1352 0.0049 0.0699 1.9342 0.0531 -0.0018 0.2721
## 575 -0.0631 0.0011 0.0325 -1.9423 0.0521 -0.1267 0.0006
## 576 0.0351 0.0003 0.0181 1.9366 0.0528 -0.0004 0.0706
## 577 0.1112 0.0033 0.0575 1.9347 0.0530 -0.0015 0.2239
## 578 0.1133 0.0034 0.0586 1.9345 0.0531 -0.0015 0.2282
## 579 0.0392 0.0033 0.0579 0.6779 0.4978 -0.0742 0.1526
## 580 -0.0572 0.0009 0.0297 -1.9245 0.0543 -0.1154 0.0011
## 581 0.3859 0.3704 0.6086 0.6341 0.5260 -0.8069 1.5787
## 582 0.2661 0.1316 0.3628 0.7335 0.4632 -0.4450 0.9772
## 583 0.2377 0.2945 0.5426 0.4380 0.6614 -0.8259 1.3013
## 584 0.1535 0.1333 0.3651 0.4204 0.6742 -0.5620 0.8690
## 585 0.2275 0.1723 0.4151 0.5482 0.5835 -0.5860 1.0410
## 586 -0.0527 0.0001 0.0075 -6.9979 <.0001 -0.0674 -0.0379
## 587 -0.0078 0.0000 0.0020 -3.9850 <.0001 -0.0117 -0.0040
## 588 0.0118 0.0000 0.0035 3.3233 0.0009 0.0048 0.0187
## 589 -0.0711 0.0000 0.0034 -20.8665 <.0001 -0.0778 -0.0644
## 590 -0.0541 0.0001 0.0095 -5.6702 <.0001 -0.0728 -0.0354
## 591 -0.0915 0.0000 0.0036 -25.7383 <.0001 -0.0984 -0.0845
## 592 -0.0376 0.0000 0.0020 -18.5646 <.0001 -0.0416 -0.0337
## 593 -0.0280 0.0000 0.0021 -13.3369 <.0001 -0.0321 -0.0239
## 594 -0.0605 0.0000 0.0044 -13.8813 <.0001 -0.0691 -0.0520
## 595 -0.0364 0.0000 0.0029 -12.6219 <.0001 -0.0421 -0.0308
## 596 -0.0760 0.0000 0.0030 -25.4528 <.0001 -0.0818 -0.0701
## 597 -0.0766 0.0000 0.0031 -24.6223 <.0001 -0.0827 -0.0705
## 598 -0.0543 0.0000 0.0024 -23.0878 <.0001 -0.0590 -0.0497
## 599 -0.0506 0.0000 0.0032 -16.0209 <.0001 -0.0568 -0.0444
## 600 -0.0725 0.0000 0.0040 -18.2166 <.0001 -0.0803 -0.0647
## 601 0.0143 0.0000 0.0052 2.7555 0.0059 0.0041 0.0244
## 602 0.0000 0.0038 0.0615 0.0000 1.0000 -0.1206 0.1206
## 603 -0.0935 0.0174 0.1321 -0.7080 0.4789 -0.3524 0.1654
## 604 0.1054 0.0126 0.1124 0.9375 0.3485 -0.1149 0.3256
## 605 0.0928 0.0193 0.1389 0.6679 0.5042 -0.1795 0.3651
## 606 -0.2384 0.0173 0.1314 -1.8139 0.0697 -0.4960 0.0192
## 607 -0.2973 0.0266 0.1632 -1.8210 0.0686 -0.6172 0.0227
## 608 0.0314 0.0012 0.0343 0.9161 0.3596 -0.0358 0.0986
## 609 -0.0918 0.0014 0.0373 -2.4586 0.0139 -0.1650 -0.0186
## 610 -0.0205 0.0051 0.0712 -0.2875 0.7737 -0.1601 0.1191
## 611 0.0274 0.0088 0.0937 0.2924 0.7700 -0.1563 0.2111
## 612 0.0165 0.0014 0.0374 0.4425 0.6581 -0.0567 0.0897
## 613 0.0364 0.0039 0.0624 0.5829 0.5600 -0.0859 0.1587
## 614 -0.0052 0.0033 0.0575 -0.0908 0.9276 -0.1179 0.1075
## 615 -0.0277 0.0079 0.0888 -0.3115 0.7554 -0.2016 0.1463
## 616 0.0260 0.0046 0.0681 0.3816 0.7028 -0.1074 0.1594
## 617 -0.0631 0.0055 0.0739 -0.8529 0.3937 -0.2080 0.0819
## 618 0.0268 0.0061 0.0784 0.3424 0.7321 -0.1268 0.1805
## 619 0.0126 0.0052 0.0720 0.1745 0.8615 -0.1286 0.1537
## 620 -0.0077 0.0040 0.0629 -0.1224 0.9025 -0.1310 0.1156
## 621 -0.0130 0.0078 0.0885 -0.1465 0.8835 -0.1865 0.1605
## 622 -0.0338 0.0035 0.0596 -0.5677 0.5703 -0.1506 0.0829
## 623 0.0435 0.0087 0.0930 0.4675 0.6402 -0.1388 0.2258
## 624 0.0862 0.0061 0.0781 1.1039 0.2696 -0.0668 0.2392
## 625 0.1135 0.0082 0.0907 1.2514 0.2108 -0.0643 0.2914
## 626 0.0513 0.0042 0.0648 0.7915 0.4286 -0.0757 0.1783
## 627 0.1178 0.0170 0.1305 0.9023 0.3669 -0.1381 0.3736
## 628 0.0819 0.0076 0.0870 0.9412 0.3466 -0.0887 0.2525
## 629 0.0408 0.0116 0.1077 0.3790 0.7047 -0.1703 0.2519
## 630 -0.0645 0.0053 0.0729 -0.8847 0.3763 -0.2075 0.0784
## 631 -0.1165 0.0103 0.1016 -1.1471 0.2513 -0.3156 0.0826
## 632 0.0813 0.0016 0.0397 2.0476 0.0406 0.0035 0.1592
## 633 -0.0208 0.0026 0.0511 -0.4065 0.6844 -0.1209 0.0793
## 634 -0.0198 0.0027 0.0522 -0.3793 0.7044 -0.1221 0.0825
## 635 -0.0080 0.0065 0.0805 -0.0990 0.9211 -0.1657 0.1498
## 636 0.0786 0.0019 0.0436 1.8043 0.0712 -0.0068 0.1641
## 637 0.0541 0.0042 0.0651 0.8301 0.4065 -0.0736 0.1817
## 638 -0.0040 0.0027 0.0523 -0.0772 0.9384 -0.1066 0.0985
## 639 -0.0344 0.0038 0.0620 -0.5539 0.5796 -0.1560 0.0872
## 640 0.0664 0.0037 0.0610 1.0874 0.2768 -0.0533 0.1860
## 641 0.0000 0.0053 0.0727 0.0000 1.0000 -0.1426 0.1426
## 642 0.0030 0.0017 0.0414 0.0719 0.9426 -0.0782 0.0841
## 643 0.0408 0.0049 0.0697 0.5851 0.5585 -0.0958 0.1774
## 644 0.0180 0.0023 0.0477 0.3781 0.7054 -0.0754 0.1114
## 645 0.0072 0.0043 0.0657 0.1100 0.9124 -0.1215 0.1359
## 646 -0.0583 0.0032 0.0569 -1.0236 0.3060 -0.1699 0.0533
## 647 0.0313 0.0054 0.0738 0.4234 0.6720 -0.1134 0.1759
## 648 -0.0240 0.0045 0.0667 -0.3603 0.7187 -0.1548 0.1067
## 649 -0.0375 0.0078 0.0881 -0.4250 0.6709 -0.2102 0.1353
## 650 0.5021 0.0052 0.0724 6.9376 <.0001 0.3602 0.6439
## 651 0.0488 0.0001 0.0081 6.0567 <.0001 0.0330 0.0646
## 652 1.5353 0.1954 0.4421 3.4732 0.0005 0.6689 2.4017
## 653 0.0247 0.0000 0.0044 5.6558 <.0001 0.0161 0.0332
## 654 0.0928 0.0002 0.0157 5.9248 <.0001 0.0621 0.1235
## 655 0.2340 0.0016 0.0397 5.8993 <.0001 0.1563 0.3118
## 656 0.1501 0.0006 0.0251 5.9712 <.0001 0.1008 0.1993
## 657 -0.0179 0.0000 0.0030 -6.0603 <.0001 -0.0237 -0.0121
## 658 0.4146 0.0053 0.0728 5.6926 <.0001 0.2719 0.5574
## 659 0.2231 0.0014 0.0379 5.8808 <.0001 0.1488 0.2975
## 660 -0.0027 0.0000 0.0004 -7.0711 <.0001 -0.0035 -0.0020
## 661 0.2559 0.0019 0.0437 5.8517 <.0001 0.1702 0.3417
## 662 0.0703 0.0001 0.0118 5.9746 <.0001 0.0472 0.0934
## 663 -0.0842 0.0002 0.0141 -5.9902 <.0001 -0.1117 -0.0566
## 664 0.3445 0.0036 0.0597 5.7748 <.0001 0.2276 0.4615
## 665 -0.0757 0.3133 0.5597 -0.1353 0.8924 -1.1727 1.0213
## 666 0.0858 0.1202 0.3467 0.2473 0.8046 -0.5938 0.7654
## 667 -0.0187 0.0984 0.3136 -0.0596 0.9525 -0.6334 0.5960
## 668 -0.2683 0.0349 0.1869 -1.4361 0.1510 -0.6346 0.0979
## 669 -0.4247 0.0232 0.1524 -2.7869 0.0053 -0.7234 -0.1260
## 670 0.6021 0.0000 0.0001 9326.5465 <.0001 0.6020 0.6023
## 671 0.6138 0.0000 0.0001 6802.0011 <.0001 0.6136 0.6139
## 672 0.3569 0.0000 0.0001 4112.8174 <.0001 0.3567 0.3570
## 673 0.7079 0.0000 0.0001 8587.5889 <.0001 0.7078 0.7081
## 674 0.4817 0.0000 0.0001 4499.2265 <.0001 0.4815 0.4819
## 675 0.8360 0.0000 0.0001 9160.1747 <.0001 0.8359 0.8362
## 676 0.5518 0.0000 0.0001 7774.4254 <.0001 0.5517 0.5519
## 677 0.3617 0.0000 0.0001 3314.1187 <.0001 0.3615 0.3619
## 678 0.6853 0.0000 0.0000 15106.1751 <.0001 0.6852 0.6854
## 679 0.5878 0.0000 0.0001 6613.1816 <.0001 0.5877 0.5880
## 680 0.8060 0.0000 0.0001 8457.1797 <.0001 0.8059 0.8062
## 681 -0.0041 0.0409 0.2023 -0.0204 0.9837 -0.4007 0.3924
## 682 0.1406 0.0150 0.1223 1.1502 0.2501 -0.0990 0.3803
## 683 -0.0037 0.0196 0.1399 -0.0264 0.9789 -0.2779 0.2705
## 684 -0.1099 0.0177 0.1331 -0.8260 0.4088 -0.3708 0.1509
## 685 0.0103 0.0076 0.0869 0.1184 0.9057 -0.1601 0.1807
## 686 0.0849 0.0037 0.0610 1.3917 0.1640 -0.0347 0.2045
## 687 -1.0498 13.4430 3.6665 -0.2863 0.7746 -8.2360 6.1363
## 688 -0.6455 6.2151 2.4930 -0.2589 0.7957 -5.5317 4.2407
## 689 -0.5978 3.2051 1.7903 -0.3339 0.7384 -4.1067 2.9110
## 690 -0.1423 0.3963 0.6295 -0.2260 0.8212 -1.3760 1.0915
## 691 -0.1557 0.4746 0.6889 -0.2259 0.8212 -1.5059 1.1945
## 692 -0.2813 0.1869 0.4323 -0.6507 0.5152 -1.1286 0.5660
## 693 -0.0069 0.1780 0.4219 -0.0163 0.9870 -0.8337 0.8200
## 694 -0.2893 0.0991 0.3148 -0.9191 0.3580 -0.9063 0.3277
## 695 -0.0660 0.2257 0.4751 -0.1388 0.8896 -0.9972 0.8652
## 696 -0.2852 0.6714 0.8194 -0.3480 0.7278 -1.8912 1.3208
## 697 -0.3536 0.5666 0.7527 -0.4697 0.6386 -1.8289 1.1218
## 698 -0.5468 0.5608 0.7489 -0.7302 0.4653 -2.0146 0.9209
## 699 -0.1817 0.2129 0.4614 -0.3939 0.6937 -1.0860 0.7226
## 700 -0.4027 0.1438 0.3793 -1.0619 0.2883 -1.1461 0.3406
## 701 -0.2724 0.1165 0.3414 -0.7981 0.4248 -0.9415 0.3967
## 702 -0.2146 0.1379 0.3713 -0.5781 0.5632 -0.9424 0.5131
## 703 -0.3031 0.0951 0.3084 -0.9829 0.3256 -0.9075 0.3013
## 704 -0.2378 0.0885 0.2975 -0.7994 0.4241 -0.8208 0.3452
## 705 -0.2286 0.1014 0.3185 -0.7178 0.4729 -0.8528 0.3956
## 706 -0.0932 0.0549 0.2342 -0.3981 0.6906 -0.5523 0.3658
## 707 -0.3340 0.0796 0.2821 -1.1837 0.2365 -0.8869 0.2190
## 708 -0.1232 0.1323 0.3638 -0.3387 0.7348 -0.8362 0.5898
## 709 -0.0982 0.0778 0.2789 -0.3522 0.7247 -0.6448 0.4483
## 710 -0.0767 0.0583 0.2414 -0.3176 0.7508 -0.5497 0.3964
## 711 -0.0056 0.0342 0.1848 -0.0301 0.9760 -0.3679 0.3567
## 712 0.0222 0.0284 0.1685 0.1320 0.8950 -0.3081 0.3525
## 713 0.0452 0.0359 0.1894 0.2388 0.8113 -0.3261 0.4165
## 714 -0.1092 0.0131 0.1145 -0.9536 0.3403 -0.3336 0.1152
## 715 -0.1318 0.0051 0.0717 -1.8367 0.0663 -0.2724 0.0088
## 716 -0.2116 0.0043 0.0655 -3.2294 0.0012 -0.3400 -0.0832
## 717 0.0089 0.0056 0.0751 0.1183 0.9058 -0.1384 0.1561
## 718 -0.0168 0.0042 0.0648 -0.2596 0.7952 -0.1437 0.1101
## 719 0.0336 0.0062 0.0789 0.4264 0.6698 -0.1210 0.1883
## 720 -0.0640 0.0090 0.0946 -0.6765 0.4987 -0.2495 0.1214
## 721 -0.0567 0.0094 0.0968 -0.5856 0.5581 -0.2464 0.1330
## 722 -0.0165 0.0092 0.0961 -0.1712 0.8640 -0.2049 0.1719
## 723 0.0042 0.0131 0.1143 0.0369 0.9706 -0.2197 0.2281
## 724 0.0410 0.0058 0.0763 0.5374 0.5910 -0.1086 0.1906
## 725 0.0511 0.0093 0.0966 0.5287 0.5970 -0.1382 0.2403
## 726 0.0159 0.0144 0.1201 0.1326 0.8945 -0.2194 0.2512
## 727 -0.0863 0.0741 0.2723 -0.3170 0.7512 -0.6200 0.4474
## 728 -0.0916 0.1242 0.3524 -0.2599 0.7950 -0.7822 0.5990
## 729 -0.0831 0.0190 0.1377 -0.6037 0.5461 -0.3529 0.1867
## 730 -0.1688 0.0918 0.3030 -0.5572 0.5774 -0.7626 0.4250
## 731 -0.0628 0.0500 0.2237 -0.2807 0.7790 -0.5012 0.3756
## 732 -0.1408 0.1162 0.3409 -0.4132 0.6795 -0.8089 0.5273
## 733 -0.0156 0.0115 0.1072 -0.1453 0.8844 -0.2257 0.1946
## 734 -0.1455 0.0315 0.1775 -0.8195 0.4125 -0.4934 0.2025
## 735 -0.0578 0.0082 0.0904 -0.6399 0.5223 -0.2349 0.1193
## 736 0.0199 0.0106 0.1028 0.1932 0.8468 -0.1817 0.2214
## 737 1.9239 0.2360 0.4858 3.9603 <.0001 0.9718 2.8761
## 738 0.3448 0.0000 0.0042 82.8573 <.0001 0.3367 0.3530
## 739 -0.2877 0.0011 0.0337 -8.5419 <.0001 -0.3537 -0.2217
## 740 1.4574 0.0774 0.2782 5.2396 <.0001 0.9122 2.0026
## 741 0.1133 0.0002 0.0130 8.7155 <.0001 0.0878 0.1388
## 742 0.2712 0.0010 0.0321 8.4376 <.0001 0.2082 0.3341
## 743 1.8583 0.2022 0.4497 4.1326 <.0001 0.9770 2.7397
## 744 0.6733 0.0079 0.0890 7.5695 <.0001 0.4990 0.8477
## 745 0.3930 0.0022 0.0464 8.4638 <.0001 0.3020 0.4841
## 746 0.7404 0.0143 0.1197 6.1867 <.0001 0.5058 0.9750
## 747 0.2160 0.0009 0.0305 7.0831 <.0001 0.1562 0.2758
## 748 -0.0442 0.0000 0.0062 -7.1403 <.0001 -0.0563 -0.0320
## 749 0.5354 0.0066 0.0810 6.6070 <.0001 0.3766 0.6942
## 750 -0.1190 0.0003 0.0167 -7.1398 <.0001 -0.1516 -0.0863
## 751 0.1800 0.0006 0.0254 7.0775 <.0001 0.1301 0.2298
## 752 0.7746 0.0162 0.1271 6.0927 <.0001 0.5254 1.0238
## 753 0.1809 0.0006 0.0255 7.1014 <.0001 0.1310 0.2309
## 754 0.4976 0.0056 0.0747 6.6627 <.0001 0.3512 0.6440
## 755 0.1770 0.0108 0.1037 1.7071 0.0878 -0.0262 0.3802
## 756 0.0912 0.0028 0.0531 1.7175 0.0859 -0.0129 0.1952
## 757 -0.3388 0.0413 0.2032 -1.6678 0.0954 -0.7370 0.0594
## 758 0.0953 0.0031 0.0555 1.7177 0.0858 -0.0134 0.2041
## 759 -0.0548 0.0010 0.0318 -1.7243 0.0847 -0.1172 0.0075
## 760 -0.2220 0.0171 0.1306 -1.6997 0.0892 -0.4780 0.0340
## 761 0.1873 0.0120 0.1098 1.7063 0.0880 -0.0278 0.4024
## 762 0.2231 0.0173 0.1314 1.6979 0.0895 -0.0344 0.4807
## 763 -0.1906 0.0125 0.1119 -1.7042 0.0883 -0.4098 0.0286
## 764 -0.0334 0.0002 0.0133 -2.5043 0.0123 -0.0596 -0.0073
## 765 -0.0941 0.0014 0.0373 -2.5203 0.0117 -0.1673 -0.0209
## 766 0.1108 0.0019 0.0441 2.5113 0.0120 0.0243 0.1973
## 767 0.1460 0.0034 0.0581 2.5104 0.0121 0.0320 0.2599
## 768 0.0664 0.0008 0.0290 2.2922 0.0219 0.0096 0.1233
## 769 -0.0209 0.0001 0.0090 -2.3249 0.0201 -0.0385 -0.0033
## 770 -0.0947 0.0017 0.0412 -2.2982 0.0216 -0.1754 -0.0139
## 771 0.0877 0.0015 0.0381 2.3021 0.0213 0.0130 0.1623
## 772 0.0664 0.0008 0.0290 2.2922 0.0219 0.0096 0.1233
## 773 -0.0209 0.0001 0.0090 -2.3249 0.0201 -0.0385 -0.0033
## 774 -0.0947 0.0017 0.0412 -2.2982 0.0216 -0.1754 -0.0139
## 775 0.0877 0.0015 0.0381 2.3021 0.0213 0.0130 0.1623
## 776 0.0862 0.0014 0.0374 2.3045 0.0212 0.0129 0.1596
## 777 0.0862 0.0014 0.0374 2.3045 0.0212 0.0129 0.1596
## 778 0.0361 0.0644 0.2537 0.1424 0.8868 -0.4612 0.5334
## 779 -0.0403 0.0281 0.1677 -0.2404 0.8101 -0.3690 0.2884
## 780 -0.1571 0.0270 0.1644 -0.9556 0.3393 -0.4794 0.1652
## 781 -0.0322 0.0295 0.1719 -0.1872 0.8515 -0.3690 0.3046
## 782 0.0621 0.0575 0.2398 0.2590 0.7957 -0.4079 0.5321
## 783 0.0131 0.0551 0.2348 0.0557 0.9556 -0.4471 0.4732
## 784 -0.0565 0.0371 0.1927 -0.2934 0.7692 -0.4342 0.3211
## 785 -0.0335 0.0268 0.1637 -0.2046 0.8379 -0.3543 0.2873
## 786 -0.0166 0.0355 0.1884 -0.0883 0.9296 -0.3858 0.3525
## 787 -0.0486 0.0284 0.1687 -0.2884 0.7731 -0.3792 0.2819
## 788 0.0325 0.0344 0.1855 0.1750 0.8611 -0.3311 0.3960
## 789 -0.0662 0.0442 0.2103 -0.3149 0.7528 -0.4784 0.3459
## 790 -0.0584 0.0190 0.1380 -0.4233 0.6721 -0.3289 0.2120
## 791 0.0445 0.0768 0.2772 0.1604 0.8726 -0.4988 0.5878
## 792 -0.0141 0.0205 0.1432 -0.0988 0.9213 -0.2948 0.2665
## 793 -0.1287 0.0344 0.1855 -0.6938 0.4878 -0.4923 0.2349
## 794 -0.1219 0.0307 0.1751 -0.6964 0.4862 -0.4651 0.2212
## 795 -0.0506 0.0245 0.1565 -0.3236 0.7462 -0.3574 0.2561
## 796 -0.0920 0.0139 0.1180 -0.7794 0.4357 -0.3232 0.1393
## 797 -0.2630 0.0273 0.1652 -1.5917 0.1114 -0.5869 0.0608
## 798 -0.0699 0.0281 0.1676 -0.4168 0.6768 -0.3983 0.2586
## 799 -0.1005 0.0229 0.1513 -0.6640 0.5067 -0.3970 0.1961
## 800 -0.0743 0.0278 0.1668 -0.4455 0.6559 -0.4011 0.2525
## 801 -0.2387 0.0108 0.1041 -2.2929 0.0219 -0.4427 -0.0347
## 802 -0.0513 0.0322 0.1795 -0.2858 0.7750 -0.4030 0.3005
## 803 -0.0662 0.0160 0.1267 -0.5230 0.6010 -0.3145 0.1820
## 804 -0.1399 0.0044 0.0663 -2.1112 0.0348 -0.2698 -0.0100
## 805 -0.0784 0.0012 0.0340 -2.3050 0.0212 -0.1451 -0.0117
## 806 -0.2208 0.0094 0.0970 -2.2770 0.0228 -0.4108 -0.0307
## 807 -0.1376 0.0036 0.0600 -2.2932 0.0218 -0.2552 -0.0200
## 808 -0.0151 0.0000 0.0066 -2.3057 0.0211 -0.0280 -0.0023
## 809 -0.1663 0.0053 0.0727 -2.2861 0.0223 -0.3088 -0.0237
## 810 -0.1668 0.0053 0.0729 -2.2885 0.0221 -0.3096 -0.0239
## 811 -0.1084 0.0022 0.0471 -2.3001 0.0214 -0.2008 -0.0160
## 812 -0.1132 0.0024 0.0492 -2.3017 0.0213 -0.2096 -0.0168
## 813 -0.1038 0.0020 0.0451 -2.3005 0.0214 -0.1923 -0.0154
## 814 -0.1252 0.0029 0.0542 -2.3085 0.0210 -0.2314 -0.0189
## 815 -0.0262 0.0001 0.0113 -2.3167 0.0205 -0.0484 -0.0040
## 816 -0.1193 0.0019 0.0432 -2.7623 0.0057 -0.2039 -0.0347
## 817 0.0636 0.0005 0.0229 2.7744 0.0055 0.0187 0.1086
## 818 0.1707 0.0026 0.0506 3.3760 0.0007 0.0716 0.2698
## 819 0.0328 0.0001 0.0118 2.7799 0.0054 0.0097 0.0560
## 820 0.0166 0.0000 0.0059 2.8053 0.0050 0.0050 0.0283
## 821 0.2423 0.0079 0.0888 2.7282 0.0064 0.0682 0.4164
## 822 -0.0902 0.0011 0.0325 -2.7717 0.0056 -0.1540 -0.0264
## 823 0.1657 0.0036 0.0602 2.7529 0.0059 0.0477 0.2836
## 824 0.0510 0.0003 0.0185 2.7664 0.0057 0.0149 0.0872
## 825 0.0824 0.0009 0.0298 2.7652 0.0057 0.0240 0.1408
## 826 -0.0331 0.0001 0.0119 -2.7872 0.0053 -0.0564 -0.0098
## 827 -0.0526 0.0004 0.0190 -2.7691 0.0056 -0.0898 -0.0154
## 828 -0.1006 0.0013 0.0363 -2.7739 0.0055 -0.1717 -0.0295
## 829 -0.2057 0.0056 0.0750 -2.7418 0.0061 -0.3528 -0.0587
## 830 -0.0111 0.0000 0.0040 -2.7482 0.0060 -0.0191 -0.0032
## 831 0.0146 0.0000 0.0052 2.7887 0.0053 0.0043 0.0248
## 832 -0.2461 0.0081 0.0902 -2.7287 0.0064 -0.4229 -0.0693
## 833 -0.1048 0.0014 0.0378 -2.7697 0.0056 -0.1789 -0.0306
## 834 -0.1324 0.0023 0.0479 -2.7610 0.0058 -0.2263 -0.0384
## 835 -0.0981 0.0013 0.0355 -2.7647 0.0057 -0.1677 -0.0286
## 836 -0.0644 0.0005 0.0232 -2.7709 0.0056 -0.1099 -0.0188
## 837 -0.2438 0.0080 0.0893 -2.7289 0.0064 -0.4189 -0.0687
## 838 -0.1564 0.0032 0.0567 -2.7584 0.0058 -0.2675 -0.0453
## 839 -0.1098 0.0016 0.0397 -2.7660 0.0057 -0.1875 -0.0320
## 840 0.0457 0.0003 0.0164 2.7788 0.0055 0.0135 0.0779
## 841 -0.1496 0.0029 0.0542 -2.7613 0.0058 -0.2558 -0.0434
## 842 -0.0722 0.0007 0.0260 -2.7712 0.0056 -0.1232 -0.0211
## 843 -0.1698 0.0038 0.0616 -2.7540 0.0059 -0.2906 -0.0489
## 844 -0.0626 0.0005 0.0226 -2.7719 0.0056 -0.1069 -0.0183
## 845 -0.0082 0.0000 0.0030 -2.7530 0.0059 -0.0140 -0.0023
## 846 -0.0930 0.0011 0.0336 -2.7658 0.0057 -0.1589 -0.0271
## 847 -0.0691 0.0006 0.0250 -2.7681 0.0056 -0.1180 -0.0202
## 848 -0.0635 0.0005 0.0229 -2.7747 0.0055 -0.1083 -0.0186
## 849 -0.1916 0.0049 0.0697 -2.7485 0.0060 -0.3282 -0.0550
## 850 0.0111 0.0000 0.0041 2.7301 0.0063 0.0031 0.0191
## 851 0.0127 0.0000 0.0046 2.7419 0.0061 0.0036 0.0218
## 852 0.0856 0.0010 0.0310 2.7647 0.0057 0.0249 0.1463
## 853 0.0058 0.0000 0.0021 2.7906 0.0053 0.0017 0.0099
## 854 -0.1401 0.0026 0.0508 -2.7613 0.0058 -0.2396 -0.0407
## 855 -0.2453 0.0081 0.0899 -2.7303 0.0063 -0.4215 -0.0692
## 856 -0.2120 0.0039 0.0628 -3.3740 0.0007 -0.3352 -0.0889
## 857 -0.2191 0.0064 0.0800 -2.7407 0.0061 -0.3758 -0.0624
## 858 -0.0642 0.0005 0.0231 -2.7802 0.0054 -0.1095 -0.0189
## 859 -0.2592 0.0091 0.0952 -2.7217 0.0065 -0.4459 -0.0725
## 860 0.7732 6.4694 2.5435 0.3040 0.7611 -4.2120 5.7584
## 861 0.0376 0.0111 0.1054 0.3571 0.7210 -0.1690 0.2442
## 862 0.0049 0.0002 0.0136 0.3587 0.7198 -0.0218 0.0315
## 863 0.0270 0.0057 0.0756 0.3575 0.7207 -0.1211 0.1751
## 864 0.0190 0.0029 0.0534 0.3567 0.7213 -0.0856 0.1237
## 865 -0.0068 0.0004 0.0191 -0.3572 0.7209 -0.0443 0.0307
## 866 0.0037 0.0001 0.0104 0.3550 0.7226 -0.0167 0.0241
## 867 0.0795 0.0497 0.2229 0.3567 0.7213 -0.3574 0.5165## [1] 867 2Add the effect sizes to the original data set with cbind or bind_cols from the package dplyr
##
## Attaching package: 'dplyr'## The following objects are masked from 'package:plyr':
##
## arrange, count, desc, failwith, id, mutate, rename, summarise,
## summarize## The following objects are masked from 'package:rgeos':
##
## intersect, setdiff, union## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union## [1] 867 56## Continent Country year_of_experiment Site lat_decimals
## 1 Asia China 2011 Changbai Mountain (1) 42.03
## 2 Asia China 2011 Changbai Mountain (1) 42.03
## 3 Asia China 2011 Changbai Mountain (1) 42.03
## 4 Asia China 2011 Changbai Mountain (1) 42.03
## 5 Asia China 2011 Changbai Mountain (1) 42.03
## 6 Asia China 2011 Changbai Mountain (1) 42.03
## long_decimals eco_type Annual_precip precipitation_levels Annual_temp
## 1 128.03 Forest 1000 low 6.1
## 2 128.03 Forest 1000 low 6.1
## 3 128.03 Forest 1000 low 6.1
## 4 128.03 Forest 1000 low 6.1
## 5 128.03 Forest 1000 low 6.1
## 6 128.03 Forest 1000 low 6.1
## Regional_climate climatic_region SOM Soil.C.. Soil.N. Soil.C.N.ratio Soil.pH
## 1 subalpine climate Temperate N/A 12.3 0.57 N/A 4.96
## 2 subalpine climate Temperate N/A 12.3 0.57 N/A 4.96
## 3 subalpine climate Temperate N/A 12.3 0.57 N/A 4.96
## 4 subalpine climate Temperate N/A 12.3 0.57 N/A 4.96
## 5 subalpine climate Temperate N/A 12.3 0.57 N/A 4.96
## 6 subalpine climate Temperate N/A 12.3 0.57 N/A 4.96
## litterbags_size_cm2 Fauna_available Top_mesh_size Fauna_group
## 1 300 absent 0.1 microfauna
## 2 300 absent 0.1 microfauna
## 3 300 absent 0.1 microfauna
## 4 300 absent 0.1 microfauna
## 5 300 absent 0.1 microfauna
## 6 300 absent 0.1 microfauna
## Bottom_mesh_size Burial_location Time_Days Duration_period spc_abbr
## 1 0.1 Surface 183 medium Be,Ra
## 2 0.1 Surface 183 medium Be,Pk
## 3 0.1 Surface 183 medium Be,Pk,Ra
## 4 0.1 Surface 243 medium Be,Ra
## 5 0.1 Surface 243 medium Be,Pk
## 6 0.1 Surface 243 medium Be,Pk,Ra
## Litter_type Drying_method Oven_temp_C Litter_size sp_div_in_mixture
## 1 Deciduous air dried N/A Whole leaf 2
## 2 Deciduous air dried N/A Whole leaf 2
## 3 Deciduous air dried N/A Whole leaf 3
## 4 Deciduous air dried N/A Whole leaf 2
## 5 Deciduous air dried N/A Whole leaf 2
## 6 Deciduous air dried N/A Whole leaf 3
## species_richness propotions Mixture_mass_ratio n_expected n_observed Lit_Car
## 1 two equal 01:01 6 6 56.84
## 2 two equal 01:01 6 6 50.81
## 3 three equal 01:01:01 6 6 53.84
## 4 two equal 01:01 6 6 56.84
## 5 two equal 01:01 6 6 50.81
## 6 three equal 01:01:01 6 6 53.84
## Lit_Nit Lit_Pho Lit_Lig Lit_Car_Nit_ratio Lit_Lig_Nit_ratio expected_decay_k
## 1 1.26 NA NA 45.30 NA 0.40
## 2 1.43 NA NA 35.47 NA 0.70
## 3 1.39 NA NA 38.70 NA 0.57
## 4 1.26 NA NA 45.30 NA 0.40
## 5 1.43 NA NA 35.47 NA 0.70
## 6 1.39 NA NA 38.70 NA 0.57
## observed_decay_k initial_weight_g Final_weight_g m_expected sd_expected
## 1 0.42 8 6.7504 14.275 2.253331
## 2 0.72 8 5.8368 25.910 2.425119
## 3 0.61 8 6.0608 23.040 4.425144
## 4 0.42 8 6.4896 18.390 3.993269
## 5 0.72 8 5.3024 33.110 5.030378
## 6 0.61 8 5.8208 26.980 3.919528
## m_observed sd_observed obs_per_day exp_per_day sd_obsv_per_day sd_exp_per_day
## 1 15.62 1.62 0.08535519 0.07800546 0.008852459 0.01231328
## 2 27.04 0.80 0.14775956 0.14158470 0.004371585 0.01325201
## 3 24.24 2.42 0.13245902 0.12590164 0.013224044 0.02418111
## 4 18.88 2.67 0.07769547 0.07567901 0.010987654 0.01643321
## 5 33.72 4.24 0.13876543 0.13625514 0.017448560 0.02070114
## 6 27.24 2.57 0.11209877 0.11102881 0.010576132 0.01612975
## yi vi
## 1 -0.090042389 0.005945590
## 2 -0.042688257 0.001605977
## 3 -0.050772325 0.007809238
## 4 -0.026296122 0.011191797
## 5 -0.018255782 0.006482233
## 6 -0.009590631 0.005001031## [1] 2.058127e-09## [1] 237.412.3 Create a random effect model.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 867; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 82.8154 -165.6309 -161.6309 -152.1031 -161.6170
##
## tau^2 (estimated amount of total heterogeneity): 0.0224 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.1498
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 43424.24
##
## Test for Heterogeneity:
## Q(df = 866) = 56179610.0593, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0061 0.0064 -0.9434 0.3455 -0.0187 0.0066
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.4 Publication bias
We checked publication bias by using funnel plot method
we can also use contour funnel plot as this another way to check for publication bias. Save this funnel plot as supplementary material
2.5 Rosenberg fail safe number
##
## Fail-safe N Calculation Using the Rosenberg Approach
##
## Average Effect Size: 0.6005
## Observed Significance Level: <.0001
## Target Significance Level: 0.05
##
## Fail-safe N: 155317469437##
## Fail-safe N Calculation Using the Rosenthal Approach
##
## Observed Significance Level: <.0001
## Target Significance Level: 0.05
##
## Fail-safe N: 24404553442.6 Statistical analysis (Hypotehssis H1)
Let’s fit random-effects models to some subsets
2.6.1 Create data subsets
2.6.1.1 Estimated effect size based on the fauna status
We used the function rma() from metafor to estimate the effect size by fitting moderators.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 274; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0466 (SE = 0.0046)
## tau (square root of estimated tau^2 value): 0.2159
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 282599.00
##
## Test for Heterogeneity:
## Q(df = 273) = 49346403.1852, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0376 0.0142 2.6494 0.0081 0.0098 0.0655 **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 593; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0055 (SE = 0.0006)
## tau (square root of estimated tau^2 value): 0.0740
## I^2 (total heterogeneity / total variability): 99.32%
## H^2 (total variability / sampling variability): 146.49
##
## Test for Heterogeneity:
## Q(df = 592) = 40787.0377, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0225 0.0048 -4.6978 <.0001 -0.0319 -0.0131 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.1.1.1 Forest plot
We can also use ggplot2 package to plot the above forest plot. This gives more flexibility in graph plotting and leads to better visual impact
## Warning in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)): font family not
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2.6.1.2 Fauna functional calssification based on size
Here we classified the data points based on the mesh size used into different functional groups of fauna. microfauna <1.0 mm, mesofauna 1mm-2mm and macrofauna >2mm
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 185; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0055 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0744
## I^2 (total heterogeneity / total variability): 99.45%
## H^2 (total variability / sampling variability): 180.54
##
## Test for Heterogeneity:
## Q(df = 184) = 5398.7740, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0046 0.0070 0.6672 0.5047 -0.0090 0.0183
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 564; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0331 (SE = 0.0029)
## tau (square root of estimated tau^2 value): 0.1819
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 97733.51
##
## Test for Heterogeneity:
## Q(df = 563) = 52323536.2908, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0153 0.0100 -1.5303 0.1259 -0.0350 0.0043
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 118; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0143 (SE = 0.0027)
## tau (square root of estimated tau^2 value): 0.1195
## I^2 (total heterogeneity / total variability): 97.40%
## H^2 (total variability / sampling variability): 38.52
##
## Test for Heterogeneity:
## Q(df = 117) = 1072.8923, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0042 0.0135 0.3108 0.7560 -0.0223 0.0307
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
The effect size for different fauna group is not significant different from each other. This might be due to the differences in samples sizes.
2.6.1.3 Estimated effect size based on the climatic regions
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 504; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0078 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0881
## I^2 (total heterogeneity / total variability): 99.69%
## H^2 (total variability / sampling variability): 321.03
##
## Test for Heterogeneity:
## Q(df = 503) = 904792.7749, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0359 0.0056 -6.3569 <.0001 -0.0469 -0.0248 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 120; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0340 (SE = 0.0049)
## tau (square root of estimated tau^2 value): 0.1845
## I^2 (total heterogeneity / total variability): 99.89%
## H^2 (total variability / sampling variability): 871.73
##
## Test for Heterogeneity:
## Q(df = 119) = 9309.8100, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0523 0.0181 2.8910 0.0038 0.0168 0.0878 **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 243; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0392 (SE = 0.0051)
## tau (square root of estimated tau^2 value): 0.1979
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 264013.61
##
## Test for Heterogeneity:
## Q(df = 242) = 35964103.8952, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0193 0.0161 1.1939 0.2325 -0.0124 0.0509
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.1.3.1 Forest plot for climatic regions
Plot the above forest plot using ggplot2
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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2.6.1.4 Estimated effect size based on the ecosystem types
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 594; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0162 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.1271
## I^2 (total heterogeneity / total variability): 99.83%
## H^2 (total variability / sampling variability): 588.74
##
## Test for Heterogeneity:
## Q(df = 593) = 848029.4859, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0079 0.0071 -1.1213 0.2622 -0.0218 0.0059
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 61; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0737 (SE = 0.0141)
## tau (square root of estimated tau^2 value): 0.2715
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 1990840.07
##
## Test for Heterogeneity:
## Q(df = 60) = 31779811.7483, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0848 0.0358 2.3694 0.0178 0.0147 0.1550 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 156; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0039 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0623
## I^2 (total heterogeneity / total variability): 99.21%
## H^2 (total variability / sampling variability): 126.88
##
## Test for Heterogeneity:
## Q(df = 155) = 7136.2625, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0531 0.0079 -6.7215 <.0001 -0.0686 -0.0376 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 56; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0079 (SE = 0.0019)
## tau (square root of estimated tau^2 value): 0.0889
## I^2 (total heterogeneity / total variability): 98.96%
## H^2 (total variability / sampling variability): 95.88
##
## Test for Heterogeneity:
## Q(df = 55) = 398.9361, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0236 0.0134 1.7588 0.0786 -0.0027 0.0499 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.1.4.1 Forest plot
Plot the above with ggplot.
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2.6.1.5 Estimated ffect size based on the incubation time
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 310; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0234 (SE = 0.0029)
## tau (square root of estimated tau^2 value): 0.1529
## I^2 (total heterogeneity / total variability): 99.83%
## H^2 (total variability / sampling variability): 599.58
##
## Test for Heterogeneity:
## Q(df = 309) = 9981.0096, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0159 0.0119 1.3426 0.1794 -0.0073 0.0392
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 144; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0083 (SE = 0.0018)
## tau (square root of estimated tau^2 value): 0.0911
## I^2 (total heterogeneity / total variability): 99.38%
## H^2 (total variability / sampling variability): 162.08
##
## Test for Heterogeneity:
## Q(df = 143) = 3124.1386, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0251 0.0112 -2.2396 0.0251 -0.0471 -0.0031 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 225; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0048 (SE = 0.0007)
## tau (square root of estimated tau^2 value): 0.0692
## I^2 (total heterogeneity / total variability): 99.31%
## H^2 (total variability / sampling variability): 144.75
##
## Test for Heterogeneity:
## Q(df = 224) = 4919.2568, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0300 0.0065 -4.5891 <.0001 -0.0429 -0.0172 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 188; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0417 (SE = 0.0051)
## tau (square root of estimated tau^2 value): 0.2041
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 363759.94
##
## Test for Heterogeneity:
## Q(df = 187) = 41777966.5596, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0049 0.0167 0.2932 0.7694 -0.0278 0.0376
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.1.5.1 Forest plot
Plot the above forest plot using ggplot2
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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2.6.1.6 Estimated effect size based on litter species richness levels
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 609; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0214 (SE = 0.0017)
## tau (square root of estimated tau^2 value): 0.1464
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 25152.10
##
## Test for Heterogeneity:
## Q(df = 608) = 24002805.7612, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0023 0.0076 0.3004 0.7639 -0.0126 0.0171
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 127; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0272 (SE = 0.0041)
## tau (square root of estimated tau^2 value): 0.1649
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 131223.60
##
## Test for Heterogeneity:
## Q(df = 126) = 26920463.9355, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0361 0.0164 -2.2045 0.0275 -0.0682 -0.0040 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 43; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0286 (SE = 0.0072)
## tau (square root of estimated tau^2 value): 0.1690
## I^2 (total heterogeneity / total variability): 99.90%
## H^2 (total variability / sampling variability): 958.07
##
## Test for Heterogeneity:
## Q(df = 42) = 517418.6612, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0200 0.0280 0.7167 0.4736 -0.0348 0.0749
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 33; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0 (SE = 0.0199)
## tau (square root of estimated tau^2 value): 0
## I^2 (total heterogeneity / total variability): 0.00%
## H^2 (total variability / sampling variability): 1.00
##
## Test for Heterogeneity:
## Q(df = 32) = 12.1876, p-val = 0.9994
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.1938 0.0581 -3.3354 0.0009 -0.3077 -0.0799 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 51; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0052 (SE = 0.0024)
## tau (square root of estimated tau^2 value): 0.0720
## I^2 (total heterogeneity / total variability): 59.67%
## H^2 (total variability / sampling variability): 2.48
##
## Test for Heterogeneity:
## Q(df = 50) = 113.7875, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0054 0.0180 -0.3024 0.7624 -0.0407 0.0298
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 4; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0 (SE = 0.0873)
## tau (square root of estimated tau^2 value): 0
## I^2 (total heterogeneity / total variability): 0.00%
## H^2 (total variability / sampling variability): 1.00
##
## Test for Heterogeneity:
## Q(df = 3) = 1.5633, p-val = 0.6677
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.2516 0.1649 1.5257 0.1271 -0.0716 0.5748
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.1.6.1 Forest plot
Plot the above forest plot using ggplot2
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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2.6.1.7 Estimated effect size based on the precipitation levels
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 486; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 12.6223 -25.2447 -21.2447 -12.8764 -21.2198
##
## tau^2 (estimated amount of total heterogeneity): 0.0266 (SE = 0.0025)
## tau (square root of estimated tau^2 value): 0.1631
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 89218.26
##
## Test for Heterogeneity:
## Q(df = 485) = 34405357.8981, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0077 0.0095 -0.8115 0.4171 -0.0264 0.0110
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 287; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 26.5194 -53.0388 -49.0388 -41.7268 -48.9964
##
## tau^2 (estimated amount of total heterogeneity): 0.0166 (SE = 0.0020)
## tau (square root of estimated tau^2 value): 0.1288
## I^2 (total heterogeneity / total variability): 99.79%
## H^2 (total variability / sampling variability): 476.57
##
## Test for Heterogeneity:
## Q(df = 286) = 43504.5258, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0177 0.0099 -1.7908 0.0733 -0.0371 0.0017 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 94; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 49.7143 -99.4286 -95.4286 -90.3634 -95.2953
##
## tau^2 (estimated amount of total heterogeneity): 0.0170 (SE = 0.0030)
## tau (square root of estimated tau^2 value): 0.1304
## I^2 (total heterogeneity / total variability): 99.98%
## H^2 (total variability / sampling variability): 4273.24
##
## Test for Heterogeneity:
## Q(df = 93) = 959340.7319, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0198 0.0148 1.3310 0.1832 -0.0093 0.0489
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.1.7.1 Forest plot
2.6.2 Precipitation and soil fauna analysis (H2)
To test the 2nd hypothesis that In low precipitation or drought environments, soil fauna effects on decomposition will be more predominant in the mixed species litter than single species litter. Here we create a new data-frames based on the precipitation levels and run a metaregression using fauna data as the moderator for the three levels of precipitation.
2.6.2.1 Create new data sets
## [1] 486 56## [1] 287 56## [1] 94 56## [1] 140 56## [1] 53 56## [1] 81 562.6.2.2 Calculate the estimate for each new data set
We used random effect model to do so
2.6.2.2.1 Low precipitation
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 486; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 12.6223 -25.2447 -21.2447 -12.8764 -21.2198
##
## tau^2 (estimated amount of total heterogeneity): 0.0266 (SE = 0.0025)
## tau (square root of estimated tau^2 value): 0.1631
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 89218.26
##
## Test for Heterogeneity:
## Q(df = 485) = 34405357.8981, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0077 0.0095 -0.8115 0.4171 -0.0264 0.0110
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.2.2.2 Medium precipitation
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 287; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 26.5194 -53.0388 -49.0388 -41.7268 -48.9964
##
## tau^2 (estimated amount of total heterogeneity): 0.0166 (SE = 0.0020)
## tau (square root of estimated tau^2 value): 0.1288
## I^2 (total heterogeneity / total variability): 99.79%
## H^2 (total variability / sampling variability): 476.57
##
## Test for Heterogeneity:
## Q(df = 286) = 43504.5258, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0177 0.0099 -1.7908 0.0733 -0.0371 0.0017 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.2.2.3 High precipitation
##
## Random-Effects Model (k = 94; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 49.7143 -99.4286 -95.4286 -90.3634 -95.2953
##
## tau^2 (estimated amount of total heterogeneity): 0.0170 (SE = 0.0030)
## tau (square root of estimated tau^2 value): 0.1304
## I^2 (total heterogeneity / total variability): 99.98%
## H^2 (total variability / sampling variability): 4273.24
##
## Test for Heterogeneity:
## Q(df = 93) = 959340.7319, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0198 0.0148 1.3310 0.1832 -0.0093 0.0489
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.2.3 Meta regression on each data set
we performed a meta-regression using fauna as the main moderator for each data. This is to see how fauna effect changes with the precipitation levels.
2.6.2.3.1 Estimate of effect size
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Mixed-Effects Model (k = 94; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 49.1350 -98.2700 -92.2700 -84.7046 -91.9972
##
## tau^2 (estimated amount of residual heterogeneity): 0.0170 (SE = 0.0030)
## tau (square root of estimated tau^2 value): 0.1305
## I^2 (residual heterogeneity / unaccounted variability): 99.97%
## H^2 (unaccounted variability / sampling variability): 3060.48
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 92) = 865775.0752, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.8868, p-val = 0.3464
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0351 0.0220 1.5922 0.1113 -0.0081 0.0783
## Fauna_availablepresent -0.0281 0.0298 -0.9417 0.3464 -0.0866 0.0304
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 287; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 31.6948 -63.3896 -57.3896 -46.4321 -57.3042
##
## tau^2 (estimated amount of residual heterogeneity): 0.0161 (SE = 0.0020)
## tau (square root of estimated tau^2 value): 0.1267
## I^2 (residual heterogeneity / unaccounted variability): 99.78%
## H^2 (unaccounted variability / sampling variability): 452.73
## R^2 (amount of heterogeneity accounted for): 3.24%
##
## Test for Residual Heterogeneity:
## QE(df = 285) = 42620.6821, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 12.3127, p-val = 0.0004
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0440 0.0123 -3.5739 0.0004 -0.0682 -0.0199
## Fauna_availablepresent 0.0710 0.0202 3.5089 0.0004 0.0313 0.1106
##
## intrcpt ***
## Fauna_availablepresent ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 486; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 23.5946 -47.1893 -41.1893 -28.6430 -41.1393
##
## tau^2 (estimated amount of residual heterogeneity): 0.0250 (SE = 0.0023)
## tau (square root of estimated tau^2 value): 0.1580
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 83868.18
## R^2 (amount of heterogeneity accounted for): 6.13%
##
## Test for Residual Heterogeneity:
## QE(df = 484) = 32897837.6635, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 23.9528, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0408 0.0116 -3.5200 0.0004 -0.0635 -0.0181
## Fauna_availablepresent 0.0951 0.0194 4.8942 <.0001 0.0570 0.1332
##
## intrcpt ***
## Fauna_availablepresent ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1From the metaregression results as the precipitation reduces the impact of soil fauna availability on the overall effect size increases.
2.6.2.3.2 Fauna effect on different precipitation levels
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 140; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0553 (SE = 0.0078)
## tau (square root of estimated tau^2 value): 0.2351
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 645655.67
##
## Test for Heterogeneity:
## Q(df = 139) = 32894186.1146, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0480 0.0218 2.2006 0.0278 0.0052 0.0907 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 81; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0481 (SE = 0.0085)
## tau (square root of estimated tau^2 value): 0.2193
## I^2 (total heterogeneity / total variability): 99.73%
## H^2 (total variability / sampling variability): 371.25
##
## Test for Heterogeneity:
## Q(df = 80) = 7443.0820, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0414 0.0262 1.5779 0.1146 -0.0100 0.0929
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 53; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0254 (SE = 0.0058)
## tau (square root of estimated tau^2 value): 0.1595
## I^2 (total heterogeneity / total variability): 99.99%
## H^2 (total variability / sampling variability): 7883.46
##
## Test for Heterogeneity:
## Q(df = 52) = 865088.1143, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0065 0.0239 0.2740 0.7841 -0.0403 0.0533
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 346; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0047 (SE = 0.0007)
## tau (square root of estimated tau^2 value): 0.0689
## I^2 (total heterogeneity / total variability): 97.74%
## H^2 (total variability / sampling variability): 44.15
##
## Test for Heterogeneity:
## Q(df = 345) = 3651.5488, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0257 0.0062 -4.1398 <.0001 -0.0379 -0.0135 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 206; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0053 (SE = 0.0010)
## tau (square root of estimated tau^2 value): 0.0727
## I^2 (total heterogeneity / total variability): 99.48%
## H^2 (total variability / sampling variability): 191.79
##
## Test for Heterogeneity:
## Q(df = 205) = 35177.6001, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0372 0.0081 -4.6059 <.0001 -0.0530 -0.0213 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 41; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0051 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.0713
## I^2 (total heterogeneity / total variability): 98.19%
## H^2 (total variability / sampling variability): 55.29
##
## Test for Heterogeneity:
## Q(df = 40) = 686.9609, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0385 0.0133 2.8853 0.0039 0.0123 0.0646 **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.2.3.3 Forest plot
Plot precipitation and fauna with ggplot2.
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visualize the relationship between soil fauna status and annual precipitation in mm Only the fauna status that shows significant effect is shown. This the Figure S2 in the supplementary material.
##
## Attaching package: 'ggpubr'## The following object is masked from 'package:plyr':
##
## mutate## `geom_smooth()` using formula 'y ~ x'## Warning: Removed 19 rows containing non-finite values (stat_smooth).## Warning: Removed 19 rows containing non-finite values (stat_cor).## `geom_smooth()` using formula 'y ~ x'## Warning: Removed 15 rows containing non-finite values (stat_smooth).## Warning: Removed 19 rows containing missing values (geom_point).## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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Using ggplot to visualize the relationship between soil fauna and precipitation. we only show the linear regression when its positive.
## `geom_smooth()` using formula 'y ~ x'## Warning: Removed 15 rows containing non-finite values (stat_smooth).## Warning: Removed 19 rows containing missing values (geom_point).## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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See the relationship of fauna status and incubation period.
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## family not found in Windows font database2.6.3 Effect size for fauna inclusion by climatic region
We did a metaregression showing how availability of fauna affects the effect sizes by climatic region here we create new data frame based on the climatic region
2.6.3.1 Create new data set
## [1] 120 56## [1] 243 56## [1] 504 562.6.3.2 Random effect models
Here we do a random effect model for each climatic region
##
## Random-Effects Model (k = 120; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -0.2995 0.5991 4.5991 10.1573 4.7025
##
## tau^2 (estimated amount of total heterogeneity): 0.0340 (SE = 0.0049)
## tau (square root of estimated tau^2 value): 0.1845
## I^2 (total heterogeneity / total variability): 99.89%
## H^2 (total variability / sampling variability): 871.73
##
## Test for Heterogeneity:
## Q(df = 119) = 9309.8100, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0523 0.0181 2.8910 0.0038 0.0168 0.0878 **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 243; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -22.8779 45.7558 49.7558 56.7336 49.8060
##
## tau^2 (estimated amount of total heterogeneity): 0.0392 (SE = 0.0051)
## tau (square root of estimated tau^2 value): 0.1979
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 264013.61
##
## Test for Heterogeneity:
## Q(df = 242) = 35964103.8952, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0193 0.0161 1.1939 0.2325 -0.0124 0.0509
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 504; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 186.6907 -373.3814 -369.3814 -360.9403 -369.3574
##
## tau^2 (estimated amount of total heterogeneity): 0.0078 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0881
## I^2 (total heterogeneity / total variability): 99.69%
## H^2 (total variability / sampling variability): 321.03
##
## Test for Heterogeneity:
## Q(df = 503) = 904792.7749, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0359 0.0056 -6.3569 <.0001 -0.0469 -0.0248 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Mixed-Effects Model (k = 120; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -1.0309 2.0619 8.0619 16.3739 8.2724
##
## tau^2 (estimated amount of residual heterogeneity): 0.0345 (SE = 0.0050)
## tau (square root of estimated tau^2 value): 0.1858
## I^2 (residual heterogeneity / unaccounted variability): 99.83%
## H^2 (unaccounted variability / sampling variability): 584.36
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 118) = 9024.2625, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.0002, p-val = 0.9880
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0530 0.0397 1.3341 0.1822 -0.0248 0.1307
## Fauna_availablepresent -0.0007 0.0447 -0.0151 0.9880 -0.0882 0.0869
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 243; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 6.4286 -12.8573 -6.8573 3.5971 -6.7560
##
## tau^2 (estimated amount of residual heterogeneity): 0.0276 (SE = 0.0038)
## tau (square root of estimated tau^2 value): 0.1661
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 186500.48
## R^2 (amount of heterogeneity accounted for): 29.57%
##
## Test for Residual Heterogeneity:
## QE(df = 241) = 32902277.2758, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 70.5189, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0540 0.0170 -3.1824 0.0015 -0.0873 -0.0207
## Fauna_availablepresent 0.2555 0.0304 8.3976 <.0001 0.1959 0.3152
##
## intrcpt **
## Fauna_availablepresent ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 504; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 189.6193 -379.2387 -373.2387 -360.5829 -373.1905
##
## tau^2 (estimated amount of residual heterogeneity): 0.0072 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0850
## I^2 (residual heterogeneity / unaccounted variability): 99.63%
## H^2 (unaccounted variability / sampling variability): 271.78
## R^2 (amount of heterogeneity accounted for): 6.85%
##
## Test for Residual Heterogeneity:
## QE(df = 502) = 859121.4604, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 8.6998, p-val = 0.0032
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0261 0.0064 -4.0790 <.0001 -0.0386 -0.0136
## Fauna_availablepresent -0.0369 0.0125 -2.9495 0.0032 -0.0615 -0.0124
##
## intrcpt ***
## Fauna_availablepresent **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.3.3 Effect sizes based on the fauna status in diffrent climatic regions
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 97; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0438 (SE = 0.0071)
## tau (square root of estimated tau^2 value): 0.2094
## I^2 (total heterogeneity / total variability): 99.79%
## H^2 (total variability / sampling variability): 482.44
##
## Test for Heterogeneity:
## Q(df = 96) = 8333.2660, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0548 0.0229 2.3961 0.0166 0.0100 0.0996 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 50; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0761 (SE = 0.0163)
## tau (square root of estimated tau^2 value): 0.2758
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 2519399.95
##
## Test for Heterogeneity:
## Q(df = 49) = 32867448.2532, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.1938 0.0404 4.8021 <.0001 0.1147 0.2729 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 127; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0140 (SE = 0.0027)
## tau (square root of estimated tau^2 value): 0.1182
## I^2 (total heterogeneity / total variability): 99.94%
## H^2 (total variability / sampling variability): 1714.10
##
## Test for Heterogeneity:
## Q(df = 126) = 855088.9384, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0560 0.0134 -4.1816 <.0001 -0.0823 -0.0298 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 23; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0080 (SE = 0.0026)
## tau (square root of estimated tau^2 value): 0.0896
## I^2 (total heterogeneity / total variability): 99.71%
## H^2 (total variability / sampling variability): 344.57
##
## Test for Heterogeneity:
## Q(df = 22) = 690.9965, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0487 0.0198 2.4659 0.0137 0.0100 0.0875 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 193; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0047 (SE = 0.0012)
## tau (square root of estimated tau^2 value): 0.0684
## I^2 (total heterogeneity / total variability): 99.41%
## H^2 (total variability / sampling variability): 169.09
##
## Test for Heterogeneity:
## Q(df = 192) = 34829.0226, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0411 0.0097 -4.2569 <.0001 -0.0601 -0.0222 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 377; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0048 (SE = 0.0006)
## tau (square root of estimated tau^2 value): 0.0690
## I^2 (total heterogeneity / total variability): 97.70%
## H^2 (total variability / sampling variability): 43.41
##
## Test for Heterogeneity:
## Q(df = 376) = 4032.5220, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0239 0.0055 -4.3833 <.0001 -0.0346 -0.0132 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.3.4 Forest plot
We used ggplot to plot the above plot
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2.6.4 Fauna effects in diffrent ecosystem types
2.6.4.1 Create new data sets
First we create a data frame for each of the ecosystem type
## [1] 594 56## [1] 61 56## [1] 156 56## [1] 56 562.6.4.2 Calculate the effect size based on the fauna status per ecosystem
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 203; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0332 (SE = 0.0041)
## tau (square root of estimated tau^2 value): 0.1823
## I^2 (total heterogeneity / total variability): 99.95%
## H^2 (total variability / sampling variability): 2206.57
##
## Test for Heterogeneity:
## Q(df = 202) = 600518.4067, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0281 0.0145 1.9426 0.0521 -0.0003 0.0565 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 15; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0682 (SE = 0.0273)
## tau (square root of estimated tau^2 value): 0.2611
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 7864747.54
##
## Test for Heterogeneity:
## Q(df = 14) = 30223925.6615, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.4745 0.0696 6.8146 <.0001 0.3380 0.6109 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 49; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0081 (SE = 0.0021)
## tau (square root of estimated tau^2 value): 0.0900
## I^2 (total heterogeneity / total variability): 98.83%
## H^2 (total variability / sampling variability): 85.38
##
## Test for Heterogeneity:
## Q(df = 48) = 351.8544, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0549 0.0148 -3.6996 0.0002 -0.0840 -0.0258 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 7; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0008 (SE = 0.0010)
## tau (square root of estimated tau^2 value): 0.0287
## I^2 (total heterogeneity / total variability): 66.29%
## H^2 (total variability / sampling variability): 2.97
##
## Test for Heterogeneity:
## Q(df = 6) = 13.4516, p-val = 0.0364
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0037 0.0159 -0.2333 0.8155 -0.0349 0.0275
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 391; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0000 (SE = 0.0000)
## tau (square root of estimated tau^2 value): 0.0029
## I^2 (total heterogeneity / total variability): 7.35%
## H^2 (total variability / sampling variability): 1.08
##
## Test for Heterogeneity:
## Q(df = 390) = 1347.3453, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0010 0.0012 0.8088 0.4186 -0.0014 0.0033
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 46; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0053 (SE = 0.0014)
## tau (square root of estimated tau^2 value): 0.0725
## I^2 (total heterogeneity / total variability): 99.77%
## H^2 (total variability / sampling variability): 427.64
##
## Test for Heterogeneity:
## Q(df = 45) = 1958.2692, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0368 0.0123 -2.9870 0.0028 -0.0610 -0.0127 **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 107; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0011 (SE = 0.0004)
## tau (square root of estimated tau^2 value): 0.0333
## I^2 (total heterogeneity / total variability): 97.85%
## H^2 (total variability / sampling variability): 46.46
##
## Test for Heterogeneity:
## Q(df = 106) = 3956.9126, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0562 0.0069 -8.1674 <.0001 -0.0696 -0.0427 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 49; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0091 (SE = 0.0023)
## tau (square root of estimated tau^2 value): 0.0955
## I^2 (total heterogeneity / total variability): 95.96%
## H^2 (total variability / sampling variability): 24.78
##
## Test for Heterogeneity:
## Q(df = 48) = 376.9601, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0268 0.0153 1.7502 0.0801 -0.0032 0.0568 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.4.3 Forest plot
We plot the forest plot
Manually plot the above forest plots using ggplot since its easier to work on the presentability of the plot.
## [1] 1 2 3 1 2 3 1 2 3 1 2 3
## Levels: 1 2 3## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family not found in Windows font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family not found in Windows font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family not found in Windows font database
## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
## family not found in Windows font database
2.6.4.4 Model for diffrent ecosystems with fauna availability as the moderator
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Mixed-Effects Model (k = 594; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 75.6281 -151.2562 -145.2562 -132.1057 -145.2154
##
## tau^2 (estimated amount of residual heterogeneity): 0.0159 (SE = 0.0014)
## tau (square root of estimated tau^2 value): 0.1262
## I^2 (residual heterogeneity / unaccounted variability): 99.78%
## H^2 (unaccounted variability / sampling variability): 460.37
## R^2 (amount of heterogeneity accounted for): 1.45%
##
## Test for Residual Heterogeneity:
## QE(df = 592) = 601865.7519, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 15.8583, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0322 0.0093 -3.4529 0.0006 -0.0505 -0.0139
## Fauna_availablepresent 0.0567 0.0142 3.9822 <.0001 0.0288 0.0846
##
## intrcpt ***
## Fauna_availablepresent ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 61; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 26.7722 -53.5444 -47.5444 -41.3118 -47.1080
##
## tau^2 (estimated amount of residual heterogeneity): 0.0160 (SE = 0.0033)
## tau (square root of estimated tau^2 value): 0.1263
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 437893.10
## R^2 (amount of heterogeneity accounted for): 78.35%
##
## Test for Residual Heterogeneity:
## QE(df = 59) = 30225883.9306, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 189.3867, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0408 0.0200 -2.0363 0.0417 -0.0800 -0.0015
## Fauna_availablepresent 0.5565 0.0404 13.7618 <.0001 0.4772 0.6358
##
## intrcpt *
## Fauna_availablepresent ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 156; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 68.5553 -137.1107 -131.1107 -121.9998 -130.9507
##
## tau^2 (estimated amount of residual heterogeneity): 0.0038 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0618
## I^2 (residual heterogeneity / unaccounted variability): 99.18%
## H^2 (unaccounted variability / sampling variability): 121.25
## R^2 (amount of heterogeneity accounted for): 1.62%
##
## Test for Residual Heterogeneity:
## QE(df = 154) = 4308.7670, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.6740, p-val = 0.4117
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0597 0.0113 -5.2700 <.0001 -0.0819 -0.0375
## Fauna_availablepresent 0.0129 0.0157 0.8209 0.4117 -0.0179 0.0437
##
## intrcpt ***
## Fauna_availablepresent
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 56; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 38.8797 -77.7594 -71.7594 -65.7925 -71.2794
##
## tau^2 (estimated amount of residual heterogeneity): 0.0079 (SE = 0.0019)
## tau (square root of estimated tau^2 value): 0.0891
## I^2 (residual heterogeneity / unaccounted variability): 95.35%
## H^2 (unaccounted variability / sampling variability): 21.49
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 54) = 390.4117, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.5932, p-val = 0.4412
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0277 0.0144 1.9149 0.0555 -0.0007 0.0560 .
## Fauna_availablepresent -0.0304 0.0394 -0.7702 0.4412 -0.1077 0.0469
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.4.5 Model with species diversity as a moderator
2.6.4.5.1 Species effects in different climatic region
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Mixed-Effects Model (k = 120; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -0.9453 1.8907 7.8907 16.2027 8.1012
##
## tau^2 (estimated amount of residual heterogeneity): 0.0346 (SE = 0.0050)
## tau (square root of estimated tau^2 value): 0.1859
## I^2 (residual heterogeneity / unaccounted variability): 99.85%
## H^2 (unaccounted variability / sampling variability): 677.00
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 118) = 9118.3145, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.1642, p-val = 0.6853
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0752 0.0591 1.2727 0.2031 -0.0406 0.1911
## sp_div_in_mixture -0.0091 0.0225 -0.4052 0.6853 -0.0532 0.0350
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 243; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -22.4586 44.9172 50.9172 61.3716 51.0185
##
## tau^2 (estimated amount of residual heterogeneity): 0.0392 (SE = 0.0051)
## tau (square root of estimated tau^2 value): 0.1980
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 236208.64
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 241) = 33740528.1481, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 1.5984, p-val = 0.2061
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0618 0.0373 1.6558 0.0978 -0.0113 0.1349 .
## sp_div_in_mixture -0.0145 0.0115 -1.2643 0.2061 -0.0371 0.0080
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 504; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 188.7237 -377.4474 -371.4474 -358.7916 -371.3992
##
## tau^2 (estimated amount of residual heterogeneity): 0.0075 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0866
## I^2 (residual heterogeneity / unaccounted variability): 99.66%
## H^2 (unaccounted variability / sampling variability): 295.86
## R^2 (amount of heterogeneity accounted for): 3.34%
##
## Test for Residual Heterogeneity:
## QE(df = 502) = 880647.5135, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 5.6975, p-val = 0.0170
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0024 0.0169 0.1408 0.8880 -0.0308 0.0356
## sp_div_in_mixture -0.0160 0.0067 -2.3869 0.0170 -0.0291 -0.0029 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.4.5.2 Species effects in different ecosystems
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Mixed-Effects Model (k = 594; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 68.3309 -136.6617 -130.6617 -117.5112 -130.6209
##
## tau^2 (estimated amount of residual heterogeneity): 0.0162 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.1273
## I^2 (residual heterogeneity / unaccounted variability): 99.79%
## H^2 (unaccounted variability / sampling variability): 474.92
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 592) = 582974.3991, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.7057, p-val = 0.4009
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0052 0.0172 0.3025 0.7623 -0.0285 0.0389
## sp_div_in_mixture -0.0050 0.0059 -0.8400 0.4009 -0.0165 0.0066
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 61; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -2.8545 5.7090 11.7090 17.9416 12.1453
##
## tau^2 (estimated amount of residual heterogeneity): 0.0595 (SE = 0.0116)
## tau (square root of estimated tau^2 value): 0.2438
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 1451925.95
## R^2 (amount of heterogeneity accounted for): 19.34%
##
## Test for Residual Heterogeneity:
## QE(df = 59) = 29922941.6158, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 14.9462, p-val = 0.0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.5721 0.1732 -3.3036 0.0010 -0.9115 -0.2327 ***
## sp_div_in_mixture 0.3049 0.0789 3.8660 0.0001 0.1503 0.4595 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 156; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 70.3130 -140.6260 -134.6260 -125.5151 -134.4660
##
## tau^2 (estimated amount of residual heterogeneity): 0.0036 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0600
## I^2 (residual heterogeneity / unaccounted variability): 99.10%
## H^2 (unaccounted variability / sampling variability): 110.91
## R^2 (amount of heterogeneity accounted for): 7.04%
##
## Test for Residual Heterogeneity:
## QE(df = 154) = 7129.7767, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 4.5387, p-val = 0.0331
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0075 0.0292 0.2566 0.7975 -0.0498 0.0648
## sp_div_in_mixture -0.0234 0.0110 -2.1304 0.0331 -0.0450 -0.0019 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 56; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 38.7648 -77.5297 -71.5297 -65.5627 -71.0497
##
## tau^2 (estimated amount of residual heterogeneity): 0.0080 (SE = 0.0019)
## tau (square root of estimated tau^2 value): 0.0892
## I^2 (residual heterogeneity / unaccounted variability): 95.44%
## H^2 (unaccounted variability / sampling variability): 21.93
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 54) = 388.5222, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.3744, p-val = 0.5406
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0706 0.0781 0.9046 0.3657 -0.0824 0.2236
## sp_div_in_mixture -0.0216 0.0353 -0.6119 0.5406 -0.0909 0.0476
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.4.5.3 Effects size based of species diversity across ecosystems
Here we estimate the effect size based on the species richness levels in different ecosystems
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 396; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0180 (SE = 0.0019)
## tau (square root of estimated tau^2 value): 0.1340
## I^2 (total heterogeneity / total variability): 99.53%
## H^2 (total variability / sampling variability): 213.44
##
## Test for Heterogeneity:
## Q(df = 395) = 9775.6598, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0031 0.0090 0.3397 0.7340 -0.0146 0.0207
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 77; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0167 (SE = 0.0036)
## tau (square root of estimated tau^2 value): 0.1292
## I^2 (total heterogeneity / total variability): 99.96%
## H^2 (total variability / sampling variability): 2661.39
##
## Test for Heterogeneity:
## Q(df = 76) = 529767.5449, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0564 0.0176 -3.2011 0.0014 -0.0909 -0.0219 **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 33; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0076 (SE = 0.0029)
## tau (square root of estimated tau^2 value): 0.0871
## I^2 (total heterogeneity / total variability): 92.03%
## H^2 (total variability / sampling variability): 12.55
##
## Test for Heterogeneity:
## Q(df = 32) = 331.8003, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0343 0.0195 1.7591 0.0786 -0.0039 0.0724 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 33; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0 (SE = 0.0199)
## tau (square root of estimated tau^2 value): 0
## I^2 (total heterogeneity / total variability): 0.00%
## H^2 (total variability / sampling variability): 1.00
##
## Test for Heterogeneity:
## Q(df = 32) = 12.1876, p-val = 0.9994
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.1938 0.0581 -3.3354 0.0009 -0.3077 -0.0799 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 51; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0052 (SE = 0.0024)
## tau (square root of estimated tau^2 value): 0.0720
## I^2 (total heterogeneity / total variability): 59.67%
## H^2 (total variability / sampling variability): 2.48
##
## Test for Heterogeneity:
## Q(df = 50) = 113.7875, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0054 0.0180 -0.3024 0.7624 -0.0407 0.0298
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 4; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0 (SE = 0.0873)
## tau (square root of estimated tau^2 value): 0
## I^2 (total heterogeneity / total variability): 0.00%
## H^2 (total variability / sampling variability): 1.00
##
## Test for Heterogeneity:
## Q(df = 3) = 1.5633, p-val = 0.6677
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.2516 0.1649 1.5257 0.1271 -0.0716 0.5748
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 47; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0088 (SE = 0.0023)
## tau (square root of estimated tau^2 value): 0.0939
## I^2 (total heterogeneity / total variability): 95.65%
## H^2 (total variability / sampling variability): 23.01
##
## Test for Heterogeneity:
## Q(df = 46) = 351.0020, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0267 0.0155 1.7241 0.0847 -0.0036 0.0570 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 9; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0042 (SE = 0.0026)
## tau (square root of estimated tau^2 value): 0.0645
## I^2 (total heterogeneity / total variability): 93.34%
## H^2 (total variability / sampling variability): 15.03
##
## Test for Heterogeneity:
## Q(df = 8) = 37.5202, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0037 0.0244 0.1526 0.8787 -0.0441 0.0515
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 53; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0539 (SE = 0.0113)
## tau (square root of estimated tau^2 value): 0.2321
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 723114.84
##
## Test for Heterogeneity:
## Q(df = 52) = 18946391.8316, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0413 0.0332 1.2436 0.2136 -0.0238 0.1064
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 7; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.1088 (SE = 0.0630)
## tau (square root of estimated tau^2 value): 0.3299
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 10182889.20
##
## Test for Heterogeneity:
## Q(df = 6) = 8668248.6694, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.2966 0.1249 2.3749 0.0176 0.0518 0.5413 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 1; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0
## tau (square root of estimated tau^2 value): 0
## I^2 (total heterogeneity / total variability): 0.00%
## H^2 (total variability / sampling variability): 1.00
##
## Test for Heterogeneity:
## Q(df = 0) = 0.0000, p-val = 1.0000
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.8060 0.0001 8457.1797 <.0001 0.8059 0.8062 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 113; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0042 (SE = 0.0012)
## tau (square root of estimated tau^2 value): 0.0647
## I^2 (total heterogeneity / total variability): 99.07%
## H^2 (total variability / sampling variability): 107.88
##
## Test for Heterogeneity:
## Q(df = 112) = 5162.0651, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0384 0.0109 -3.5261 0.0004 -0.0597 -0.0170 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 34; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0043 (SE = 0.0016)
## tau (square root of estimated tau^2 value): 0.0658
## I^2 (total heterogeneity / total variability): 99.31%
## H^2 (total variability / sampling variability): 145.87
##
## Test for Heterogeneity:
## Q(df = 33) = 1880.1921, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0720 0.0146 -4.9461 <.0001 -0.1006 -0.0435 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 9; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0002 (SE = 0.0001)
## tau (square root of estimated tau^2 value): 0.0141
## I^2 (total heterogeneity / total variability): 91.71%
## H^2 (total variability / sampling variability): 12.06
##
## Test for Heterogeneity:
## Q(df = 8) = 86.6699, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0639 0.0059 -10.8004 <.0001 -0.0755 -0.0523 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.4.5.4 Forest plot
To visually look at the results, we use of a forest plot
We also manually plot the above forest plots using ggplot2.
## [1] 1 2 3 4 5 6 12 1 2 3 1 2 3 4 1 2 3 4
## Levels: 1 2 3 4 5 6 12## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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2.6.4.5.5 Estimate the effect size at species richness levels in different climatic regions
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 382; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0062 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0789
## I^2 (total heterogeneity / total variability): 96.90%
## H^2 (total variability / sampling variability): 32.23
##
## Test for Heterogeneity:
## Q(df = 381) = 1799.4515, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0221 0.0061 -3.6287 0.0003 -0.0341 -0.0102 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 69; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0106 (SE = 0.0023)
## tau (square root of estimated tau^2 value): 0.1029
## I^2 (total heterogeneity / total variability): 99.96%
## H^2 (total variability / sampling variability): 2560.97
##
## Test for Heterogeneity:
## Q(df = 68) = 861185.0549, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0729 0.0141 -5.1691 <.0001 -0.1005 -0.0453 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 11; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0002 (SE = 0.0001)
## tau (square root of estimated tau^2 value): 0.0125
## I^2 (total heterogeneity / total variability): 87.10%
## H^2 (total variability / sampling variability): 7.75
##
## Test for Heterogeneity:
## Q(df = 10) = 89.9143, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0647 0.0057 -11.4097 <.0001 -0.0758 -0.0536 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 32; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0 (SE = 0.0291)
## tau (square root of estimated tau^2 value): 0
## I^2 (total heterogeneity / total variability): 0.00%
## H^2 (total variability / sampling variability): 1.00
##
## Test for Heterogeneity:
## Q(df = 31) = 10.9038, p-val = 0.9997
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.2278 0.0654 -3.4836 0.0005 -0.3559 -0.0996 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 6; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0
## I^2 (total heterogeneity / total variability): 0.00%
## H^2 (total variability / sampling variability): 1.00
##
## Test for Heterogeneity:
## Q(df = 5) = 1.7809, p-val = 0.8786
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0626 0.0146 -4.2977 <.0001 -0.0911 -0.0341 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 4; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0 (SE = 0.0873)
## tau (square root of estimated tau^2 value): 0
## I^2 (total heterogeneity / total variability): 0.00%
## H^2 (total variability / sampling variability): 1.00
##
## Test for Heterogeneity:
## Q(df = 3) = 1.5633, p-val = 0.6677
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.2516 0.1649 1.5257 0.1271 -0.0716 0.5748
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 150; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0386 (SE = 0.0064)
## tau (square root of estimated tau^2 value): 0.1966
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 183843.91
##
## Test for Heterogeneity:
## Q(df = 149) = 22598535.7550, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0300 0.0205 1.4655 0.1428 -0.0101 0.0701
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 27; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0801 (SE = 0.0276)
## tau (square root of estimated tau^2 value): 0.2830
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 1731462.23
##
## Test for Heterogeneity:
## Q(df = 26) = 8970770.8416, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0006 0.0612 -0.0100 0.9920 -0.1205 0.1193
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 22; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0389 (SE = 0.0141)
## tau (square root of estimated tau^2 value): 0.1972
## I^2 (total heterogeneity / total variability): 94.59%
## H^2 (total variability / sampling variability): 18.48
##
## Test for Heterogeneity:
## Q(df = 21) = 3031.1515, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0303 0.0459 0.6617 0.5081 -0.0595 0.1202
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 1; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0
## tau (square root of estimated tau^2 value): 0
## I^2 (total heterogeneity / total variability): 0.00%
## H^2 (total variability / sampling variability): 1.00
##
## Test for Heterogeneity:
## Q(df = 0) = 0.0000, p-val = 1.0000
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0662 0.1267 -0.5230 0.6010 -0.3145 0.1820
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 43; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0 (SE = 0.0014)
## tau (square root of estimated tau^2 value): 0
## I^2 (total heterogeneity / total variability): 0.00%
## H^2 (total variability / sampling variability): 1.00
##
## Test for Heterogeneity:
## Q(df = 42) = 14.4108, p-val = 1.0000
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0018 0.0158 -0.1132 0.9099 -0.0329 0.0293
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 77; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0459 (SE = 0.0082)
## tau (square root of estimated tau^2 value): 0.2142
## I^2 (total heterogeneity / total variability): 99.86%
## H^2 (total variability / sampling variability): 699.52
##
## Test for Heterogeneity:
## Q(df = 76) = 8122.6655, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0736 0.0258 2.8517 0.0043 0.0230 0.1242 **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 31; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0175 (SE = 0.0054)
## tau (square root of estimated tau^2 value): 0.1323
## I^2 (total heterogeneity / total variability): 99.60%
## H^2 (total variability / sampling variability): 250.19
##
## Test for Heterogeneity:
## Q(df = 30) = 473.7718, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0048 0.0271 0.1762 0.8601 -0.0483 0.0579
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 10; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0246 (SE = 0.0124)
## tau (square root of estimated tau^2 value): 0.1569
## I^2 (total heterogeneity / total variability): 99.33%
## H^2 (total variability / sampling variability): 149.74
##
## Test for Heterogeneity:
## Q(df = 9) = 328.4524, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0310 0.0514 0.6043 0.5456 -0.0696 0.1317
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 2; tau^2 estimator: REML)
##
## tau^2 (estimated amount of total heterogeneity): 0.0299 (SE = 0.0438)
## tau (square root of estimated tau^2 value): 0.1729
## I^2 (total heterogeneity / total variability): 96.60%
## H^2 (total variability / sampling variability): 29.39
##
## Test for Heterogeneity:
## Q(df = 1) = 29.3926, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.1837 0.1243 1.4771 0.1396 -0.0600 0.4274
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.4.5.6 Forest plot
We visually look at the results using forest plots
We also manually plot the above forest plots using ggplot2
## [1] 1 2 3 4 5 6 12 1 2 3 4 5 6 1 2 3 4 6
## Levels: 1 2 3 4 5 6 12## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : font
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2.6.5 Effect size based on species ratio in the mixtures(equal or different )
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Random-Effects Model (k = 725; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 42.9192 -85.8383 -81.8383 -72.6687 -81.8217
##
## tau^2 (estimated amount of total heterogeneity): 0.0241 (SE = 0.0018)
## tau (square root of estimated tau^2 value): 0.1552
## I^2 (total heterogeneity / total variability): 100.00%
## H^2 (total variability / sampling variability): 55458.06
##
## Test for Heterogeneity:
## Q(df = 724) = 53549277.6234, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## 0.0006 0.0073 0.0826 0.9342 -0.0136 0.0148
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Random-Effects Model (k = 142; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -118.3884 236.7768 240.7768 246.6743 240.8637
##
## tau^2 (estimated amount of total heterogeneity): 0.0000 (SE = 0.0000)
## tau (square root of estimated tau^2 value): 0.0030
## I^2 (total heterogeneity / total variability): 6.19%
## H^2 (total variability / sampling variability): 1.07
##
## Test for Heterogeneity:
## Q(df = 141) = 680.1568, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## -0.0030 0.0016 -1.9093 0.0562 -0.0061 0.0001 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.6 Metaregression for all variables across climatic regions and ecosysytems
2.6.6.1 Carbon nitrogen ratio
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.##
## Mixed-Effects Model (k = 399; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 113.8375 -227.6750 -221.6750 -209.7231 -221.6139
##
## tau^2 (estimated amount of residual heterogeneity): 0.0087 (SE = 0.0011)
## tau (square root of estimated tau^2 value): 0.0934
## I^2 (residual heterogeneity / unaccounted variability): 99.74%
## H^2 (unaccounted variability / sampling variability): 382.85
## R^2 (amount of heterogeneity accounted for): 1.38%
##
## Test for Residual Heterogeneity:
## QE(df = 397) = 861044.3124, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 6.5410, p-val = 0.0105
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0866 0.0180 -4.8052 <.0001 -0.1219 -0.0513 ***
## Lit_Car_Nit_ratio 0.0008 0.0003 2.5575 0.0105 0.0002 0.0014 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 73; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -15.4593 30.9186 36.9186 43.7066 37.2768
##
## tau^2 (estimated amount of residual heterogeneity): 0.0790 (SE = 0.0143)
## tau (square root of estimated tau^2 value): 0.2810
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 1772063.63
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 71) = 35476098.7847, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.0019, p-val = 0.9649
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.1008 0.1151 0.8753 0.3814 -0.1249 0.3264
## Lit_Car_Nit_ratio -0.0001 0.0026 -0.0440 0.9649 -0.0052 0.0050
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 112; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 8.5426 -17.0852 -11.0852 -2.9838 -10.8588
##
## tau^2 (estimated amount of residual heterogeneity): 0.0307 (SE = 0.0045)
## tau (square root of estimated tau^2 value): 0.1751
## I^2 (residual heterogeneity / unaccounted variability): 99.86%
## H^2 (unaccounted variability / sampling variability): 740.43
## R^2 (amount of heterogeneity accounted for): 10.71%
##
## Test for Residual Heterogeneity:
## QE(df = 110) = 7032.6018, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 15.9698, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.3809 0.0845 4.5102 <.0001 0.2154 0.5465 ***
## Lit_Car_Nit_ratio -0.0080 0.0020 -3.9962 <.0001 -0.0119 -0.0041 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 383; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -29.3595 58.7189 64.7189 76.5473 64.7826
##
## tau^2 (estimated amount of residual heterogeneity): 0.0238 (SE = 0.0026)
## tau (square root of estimated tau^2 value): 0.1544
## I^2 (residual heterogeneity / unaccounted variability): 99.90%
## H^2 (unaccounted variability / sampling variability): 963.27
## R^2 (amount of heterogeneity accounted for): 2.01%
##
## Test for Residual Heterogeneity:
## QE(df = 381) = 243613.9853, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 7.2864, p-val = 0.0069
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0743 0.0319 2.3311 0.0197 0.0118 0.1368 *
## Lit_Car_Nit_ratio -0.0015 0.0006 -2.6993 0.0069 -0.0027 -0.0004 **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 61; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -9.0879 18.1757 24.1757 30.4083 24.6121
##
## tau^2 (estimated amount of residual heterogeneity): 0.0738 (SE = 0.0142)
## tau (square root of estimated tau^2 value): 0.2717
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 1776211.35
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 59) = 31619334.1634, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.7432, p-val = 0.3886
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.1571 0.0912 1.7232 0.0849 -0.0216 0.3357 .
## Lit_Car_Nit_ratio -0.0017 0.0019 -0.8621 0.3886 -0.0055 0.0021
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 87; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 71.1981 -142.3962 -136.3962 -129.0682 -136.0999
##
## tau^2 (estimated amount of residual heterogeneity): 0.0043 (SE = 0.0009)
## tau (square root of estimated tau^2 value): 0.0658
## I^2 (residual heterogeneity / unaccounted variability): 99.59%
## H^2 (unaccounted variability / sampling variability): 241.29
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 85) = 2615.4657, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.1433, p-val = 0.7050
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0639 0.0324 -1.9716 0.0487 -0.1274 -0.0004 *
## Lit_Car_Nit_ratio 0.0003 0.0008 0.3786 0.7050 -0.0013 0.0019
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 53; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 36.1493 -72.2986 -66.2986 -60.5031 -65.7880
##
## tau^2 (estimated amount of residual heterogeneity): 0.0085 (SE = 0.0021)
## tau (square root of estimated tau^2 value): 0.0924
## I^2 (residual heterogeneity / unaccounted variability): 97.95%
## H^2 (unaccounted variability / sampling variability): 48.81
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 51) = 391.6124, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 2.7720, p-val = 0.0959
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0220 0.0309 -0.7119 0.4765 -0.0825 0.0386
## Lit_Car_Nit_ratio 0.0009 0.0005 1.6649 0.0959 -0.0002 0.0019 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.6.2 Litter P content
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.##
## Mixed-Effects Model (k = 361; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 108.3159 -216.6317 -210.6317 -198.9818 -210.5641
##
## tau^2 (estimated amount of residual heterogeneity): 0.0039 (SE = 0.0006)
## tau (square root of estimated tau^2 value): 0.0622
## I^2 (residual heterogeneity / unaccounted variability): 95.34%
## H^2 (unaccounted variability / sampling variability): 21.45
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 359) = 2392.3436, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.8359, p-val = 0.3606
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0266 0.0068 -3.8948 <.0001 -0.0399 -0.0132 ***
## Lit_Pho -0.0191 0.0208 -0.9143 0.3606 -0.0599 0.0218
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 111; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -31.9450 63.8900 69.8900 77.9641 70.1186
##
## tau^2 (estimated amount of residual heterogeneity): 0.0696 (SE = 0.0126)
## tau (square root of estimated tau^2 value): 0.2638
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 911073.68
## R^2 (amount of heterogeneity accounted for): 3.97%
##
## Test for Residual Heterogeneity:
## QE(df = 109) = 25395701.6104, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 2.6923, p-val = 0.1008
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.2224 0.1110 2.0040 0.0451 0.0049 0.4398 *
## Lit_Pho -1.7756 1.0822 -1.6408 0.1008 -3.8966 0.3454
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 90; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 47.2125 -94.4250 -88.4250 -80.9930 -88.1393
##
## tau^2 (estimated amount of residual heterogeneity): 0.0149 (SE = 0.0026)
## tau (square root of estimated tau^2 value): 0.1221
## I^2 (residual heterogeneity / unaccounted variability): 99.78%
## H^2 (unaccounted variability / sampling variability): 464.43
## R^2 (amount of heterogeneity accounted for): 1.93%
##
## Test for Residual Heterogeneity:
## QE(df = 88) = 1717.4794, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 2.2514, p-val = 0.1335
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0171 0.0147 1.1613 0.2455 -0.0117 0.0459
## Lit_Pho -0.0604 0.0402 -1.5005 0.1335 -0.1393 0.0185
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 367; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -729.7056 1459.4112 1465.4112 1477.1109 1465.4776
##
## tau^2 (estimated amount of residual heterogeneity): 0.0000 (SE = 0.0000)
## tau (square root of estimated tau^2 value): 0.0031
## I^2 (residual heterogeneity / unaccounted variability): 9.81%
## H^2 (unaccounted variability / sampling variability): 1.11
## R^2 (amount of heterogeneity accounted for): 99.91%
##
## Test for Residual Heterogeneity:
## QE(df = 365) = 2522.4765, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 32.5283, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0130 0.0015 8.8025 <.0001 0.0101 0.0159 ***
## Lit_Pho -0.1054 0.0185 -5.7034 <.0001 -0.1416 -0.0692 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 55; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -10.5928 21.1856 27.1856 33.0965 27.6754
##
## tau^2 (estimated amount of residual heterogeneity): 0.0805 (SE = 0.0164)
## tau (square root of estimated tau^2 value): 0.2837
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 2168459.15
## R^2 (amount of heterogeneity accounted for): 1.80%
##
## Test for Residual Heterogeneity:
## QE(df = 53) = 20259687.9679, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 1.7452, p-val = 0.1865
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.1256 0.0482 2.6070 0.0091 0.0312 0.2200 **
## Lit_Pho -0.1178 0.0892 -1.3210 0.1865 -0.2927 0.0570
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 119; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 89.5286 -179.0572 -173.0572 -164.7707 -172.8448
##
## tau^2 (estimated amount of residual heterogeneity): 0.0041 (SE = 0.0009)
## tau (square root of estimated tau^2 value): 0.0641
## I^2 (residual heterogeneity / unaccounted variability): 99.39%
## H^2 (unaccounted variability / sampling variability): 165.00
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 117) = 6148.8826, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.0088, p-val = 0.9252
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0547 0.0109 -5.0337 <.0001 -0.0761 -0.0334 ***
## Lit_Pho -0.0048 0.0516 -0.0939 0.9252 -0.1060 0.0963
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 21; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 13.1641 -26.3282 -20.3282 -17.4948 -18.7282
##
## tau^2 (estimated amount of residual heterogeneity): 0.0054 (SE = 0.0025)
## tau (square root of estimated tau^2 value): 0.0733
## I^2 (residual heterogeneity / unaccounted variability): 94.52%
## H^2 (unaccounted variability / sampling variability): 18.25
## R^2 (amount of heterogeneity accounted for): 18.65%
##
## Test for Residual Heterogeneity:
## QE(df = 19) = 88.0309, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 5.4734, p-val = 0.0193
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.1016 0.0687 1.4793 0.1391 -0.0330 0.2362
## Lit_Pho -0.9113 0.3895 -2.3395 0.0193 -1.6747 -0.1478 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.6.3 Litter N content
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.##
## Mixed-Effects Model (k = 501; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 182.1301 -364.2602 -358.2602 -345.6224 -358.2117
##
## tau^2 (estimated amount of residual heterogeneity): 0.0079 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0887
## I^2 (residual heterogeneity / unaccounted variability): 99.68%
## H^2 (unaccounted variability / sampling variability): 309.54
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 499) = 880804.3149, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.3416, p-val = 0.5589
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0272 0.0168 -1.6176 0.1058 -0.0601 0.0057
## Lit_Nit -0.0082 0.0140 -0.5845 0.5589 -0.0357 0.0193
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 144; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -17.7325 35.4651 41.4651 50.3325 41.6390
##
## tau^2 (estimated amount of residual heterogeneity): 0.0548 (SE = 0.0090)
## tau (square root of estimated tau^2 value): 0.2340
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 578673.84
## R^2 (amount of heterogeneity accounted for): 0.71%
##
## Test for Residual Heterogeneity:
## QE(df = 142) = 17471795.9403, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.5018, p-val = 0.4787
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0306 0.0534 0.5718 0.5674 -0.0742 0.1353
## Lit_Nit -0.0256 0.0361 -0.7084 0.4787 -0.0965 0.0452
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 120; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 0.5060 -1.0121 4.9879 13.3000 5.1985
##
## tau^2 (estimated amount of residual heterogeneity): 0.0337 (SE = 0.0049)
## tau (square root of estimated tau^2 value): 0.1837
## I^2 (residual heterogeneity / unaccounted variability): 99.84%
## H^2 (unaccounted variability / sampling variability): 623.34
## R^2 (amount of heterogeneity accounted for): 0.86%
##
## Test for Residual Heterogeneity:
## QE(df = 118) = 9309.4768, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 2.9933, p-val = 0.0836
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.2595 0.1212 2.1419 0.0322 0.0220 0.4970 *
## Lit_Nit -0.1743 0.1008 -1.7301 0.0836 -0.3718 0.0232 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 531; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 37.0586 -74.1171 -68.1171 -55.3042 -68.0714
##
## tau^2 (estimated amount of residual heterogeneity): 0.0169 (SE = 0.0017)
## tau (square root of estimated tau^2 value): 0.1300
## I^2 (residual heterogeneity / unaccounted variability): 99.76%
## H^2 (unaccounted variability / sampling variability): 413.68
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 529) = 152003.1394, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.2302, p-val = 0.6314
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0079 0.0213 -0.3697 0.7116 -0.0497 0.0339
## Lit_Nit -0.0088 0.0183 -0.4798 0.6314 -0.0447 0.0271
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 61; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -5.6001 11.2001 17.2001 23.4328 17.6365
##
## tau^2 (estimated amount of residual heterogeneity): 0.0647 (SE = 0.0125)
## tau (square root of estimated tau^2 value): 0.2545
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 1598840.58
## R^2 (amount of heterogeneity accounted for): 12.16%
##
## Test for Residual Heterogeneity:
## QE(df = 59) = 16631901.8369, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 8.3760, p-val = 0.0038
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.5085 0.1500 3.3891 0.0007 0.2144 0.8025 ***
## Lit_Nit -0.3452 0.1193 -2.8941 0.0038 -0.5789 -0.1114 **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 120; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 90.9741 -181.9482 -175.9482 -167.6362 -175.7377
##
## tau^2 (estimated amount of residual heterogeneity): 0.0041 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0637
## I^2 (residual heterogeneity / unaccounted variability): 99.38%
## H^2 (unaccounted variability / sampling variability): 160.69
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 118) = 3140.0234, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.0148, p-val = 0.9032
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0507 0.0296 -1.7160 0.0862 -0.1087 0.0072 .
## Lit_Nit -0.0025 0.0203 -0.1217 0.9032 -0.0422 0.0372
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 53; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 34.7977 -69.5954 -63.5954 -57.8000 -63.0848
##
## tau^2 (estimated amount of residual heterogeneity): 0.0088 (SE = 0.0021)
## tau (square root of estimated tau^2 value): 0.0938
## I^2 (residual heterogeneity / unaccounted variability): 96.99%
## H^2 (unaccounted variability / sampling variability): 33.17
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 51) = 383.5408, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.1095, p-val = 0.7407
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0394 0.0502 0.7851 0.4324 -0.0589 0.1377
## Lit_Nit -0.0123 0.0370 -0.3310 0.7407 -0.0848 0.0603
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.6.4 Litter Lignin content
## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.##
## Mixed-Effects Model (k = 206; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 147.9059 -295.8118 -289.8118 -279.8574 -289.6918
##
## tau^2 (estimated amount of residual heterogeneity): 0.0096 (SE = 0.0012)
## tau (square root of estimated tau^2 value): 0.0980
## I^2 (residual heterogeneity / unaccounted variability): 99.89%
## H^2 (unaccounted variability / sampling variability): 895.87
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 204) = 875104.9474, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.6778, p-val = 0.4103
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0335 0.0092 -3.6408 0.0003 -0.0515 -0.0154 ***
## Lit_Lig -0.0001 0.0001 -0.8233 0.4103 -0.0002 0.0001
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 29; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 7.1049 -14.2098 -8.2098 -4.3223 -7.1663
##
## tau^2 (estimated amount of residual heterogeneity): 0.0327 (SE = 0.0092)
## tau (square root of estimated tau^2 value): 0.1809
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 1888456.10
## R^2 (amount of heterogeneity accounted for): 68.60%
##
## Test for Residual Heterogeneity:
## QE(df = 27) = 23866206.1540, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 60.0180, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.6998 0.0697 10.0434 <.0001 0.5632 0.8364 ***
## Lit_Lig -0.0245 0.0032 -7.7471 <.0001 -0.0307 -0.0183 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 49; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 36.7088 -73.4177 -67.4177 -61.8672 -66.8596
##
## tau^2 (estimated amount of residual heterogeneity): 0.0081 (SE = 0.0021)
## tau (square root of estimated tau^2 value): 0.0902
## I^2 (residual heterogeneity / unaccounted variability): 98.74%
## H^2 (unaccounted variability / sampling variability): 79.39
## R^2 (amount of heterogeneity accounted for): 0.03%
##
## Test for Residual Heterogeneity:
## QE(df = 47) = 348.4925, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.7037, p-val = 0.4015
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.1328 0.0950 -1.3981 0.1621 -0.3191 0.0534
## Lit_Lig 0.0018 0.0021 0.8389 0.4015 -0.0024 0.0059
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 147; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 107.5588 -215.1176 -209.1176 -200.1874 -208.9473
##
## tau^2 (estimated amount of residual heterogeneity): 0.0091 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.0953
## I^2 (residual heterogeneity / unaccounted variability): 99.80%
## H^2 (unaccounted variability / sampling variability): 510.11
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 145) = 50557.6434, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.0085, p-val = 0.9267
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0595 0.0115 -5.1571 <.0001 -0.0821 -0.0369 ***
## Lit_Lig 0.0000 0.0001 0.0920 0.9267 -0.0002 0.0002
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 27; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -1.0970 2.1940 8.1940 11.8507 9.3369
##
## tau^2 (estimated amount of residual heterogeneity): 0.0616 (SE = 0.0178)
## tau (square root of estimated tau^2 value): 0.2483
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 3778257.59
## R^2 (amount of heterogeneity accounted for): 41.64%
##
## Test for Residual Heterogeneity:
## QE(df = 25) = 23743829.6284, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 18.6799, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.5772 0.0902 6.3995 <.0001 0.4004 0.7540 ***
## Lit_Lig -0.0184 0.0043 -4.3220 <.0001 -0.0268 -0.0101 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 63; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 63.8120 -127.6240 -121.6240 -115.2914 -121.2029
##
## tau^2 (estimated amount of residual heterogeneity): 0.0039 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0624
## I^2 (residual heterogeneity / unaccounted variability): 99.68%
## H^2 (unaccounted variability / sampling variability): 308.82
## R^2 (amount of heterogeneity accounted for): 2.26%
##
## Test for Residual Heterogeneity:
## QE(df = 61) = 4415.3637, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.7244, p-val = 0.3947
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0713 0.0268 -2.6575 0.0079 -0.1238 -0.0187 **
## Lit_Lig 0.0006 0.0007 0.8511 0.3947 -0.0008 0.0020
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 47; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 32.1261 -64.2523 -58.2523 -52.8323 -57.6669
##
## tau^2 (estimated amount of residual heterogeneity): 0.0085 (SE = 0.0022)
## tau (square root of estimated tau^2 value): 0.0922
## I^2 (residual heterogeneity / unaccounted variability): 93.32%
## H^2 (unaccounted variability / sampling variability): 14.98
## R^2 (amount of heterogeneity accounted for): 10.56%
##
## Test for Residual Heterogeneity:
## QE(df = 45) = 369.1949, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 8.5090, p-val = 0.0035
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0661 0.0350 -1.8885 0.0590 -0.1346 0.0025 .
## Lit_Lig 0.0056 0.0019 2.9170 0.0035 0.0018 0.0093 **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.6.5 Litter Lignin:N
## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.##
## Mixed-Effects Model (k = 162; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 137.4450 -274.8900 -268.8900 -259.6645 -268.7361
##
## tau^2 (estimated amount of residual heterogeneity): 0.0075 (SE = 0.0011)
## tau (square root of estimated tau^2 value): 0.0864
## I^2 (residual heterogeneity / unaccounted variability): 99.89%
## H^2 (unaccounted variability / sampling variability): 933.37
## R^2 (amount of heterogeneity accounted for): 4.96%
##
## Test for Residual Heterogeneity:
## QE(df = 160) = 898276.6457, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 12.8235, p-val = 0.0003
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.1015 0.0140 -7.2460 <.0001 -0.1289 -0.0740 ***
## Lit_Lig_Nit_ratio 0.0014 0.0004 3.5810 0.0003 0.0006 0.0022 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 23; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -3.0894 6.1787 12.1787 15.3123 13.5905
##
## tau^2 (estimated amount of residual heterogeneity): 0.0778 (SE = 0.0245)
## tau (square root of estimated tau^2 value): 0.2790
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 5168338.15
## R^2 (amount of heterogeneity accounted for): 35.84%
##
## Test for Residual Heterogeneity:
## QE(df = 21) = 31710626.5816, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 13.1753, p-val = 0.0003
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.5304 0.0918 5.7760 <.0001 0.3504 0.7103 ***
## Lit_Lig_Nit_ratio -0.0126 0.0035 -3.6298 0.0003 -0.0194 -0.0058 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 49; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 36.6269 -73.2537 -67.2537 -61.7033 -66.6956
##
## tau^2 (estimated amount of residual heterogeneity): 0.0082 (SE = 0.0021)
## tau (square root of estimated tau^2 value): 0.0906
## I^2 (residual heterogeneity / unaccounted variability): 98.68%
## H^2 (unaccounted variability / sampling variability): 75.90
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 47) = 361.9958, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.4700, p-val = 0.4930
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.1045 0.0749 -1.3952 0.1629 -0.2513 0.0423
## Lit_Lig_Nit_ratio 0.0013 0.0019 0.6856 0.4930 -0.0025 0.0051
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 115; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 90.5949 -181.1899 -175.1899 -167.0077 -174.9697
##
## tau^2 (estimated amount of residual heterogeneity): 0.0085 (SE = 0.0016)
## tau (square root of estimated tau^2 value): 0.0924
## I^2 (residual heterogeneity / unaccounted variability): 99.85%
## H^2 (unaccounted variability / sampling variability): 649.50
## R^2 (amount of heterogeneity accounted for): 11.53%
##
## Test for Residual Heterogeneity:
## QE(df = 113) = 82862.3224, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 13.0656, p-val = 0.0003
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.1465 0.0243 -6.0224 <.0001 -0.1942 -0.0988 ***
## Lit_Lig_Nit_ratio 0.0022 0.0006 3.6146 0.0003 0.0010 0.0034 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 33; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -8.9021 17.8043 23.8043 28.1063 24.6932
##
## tau^2 (estimated amount of residual heterogeneity): 0.1033 (SE = 0.0266)
## tau (square root of estimated tau^2 value): 0.3214
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 4633934.75
## R^2 (amount of heterogeneity accounted for): 2.84%
##
## Test for Residual Heterogeneity:
## QE(df = 31) = 30161923.7541, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 1.8354, p-val = 0.1755
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.2411 0.0723 3.3346 0.0009 0.0994 0.3828 ***
## Lit_Lig_Nit_ratio -0.0027 0.0020 -1.3548 0.1755 -0.0066 0.0012
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 63; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 63.7704 -127.5407 -121.5407 -115.2081 -121.1197
##
## tau^2 (estimated amount of residual heterogeneity): 0.0039 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0625
## I^2 (residual heterogeneity / unaccounted variability): 99.68%
## H^2 (unaccounted variability / sampling variability): 308.45
## R^2 (amount of heterogeneity accounted for): 1.98%
##
## Test for Residual Heterogeneity:
## QE(df = 61) = 3670.1787, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.6414, p-val = 0.4232
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0639 0.0197 -3.2347 0.0012 -0.1026 -0.0252 **
## Lit_Lig_Nit_ratio 0.0005 0.0006 0.8009 0.4232 -0.0007 0.0017
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 23; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 14.2838 -28.5676 -22.5676 -19.4341 -21.1559
##
## tau^2 (estimated amount of residual heterogeneity): 0.0065 (SE = 0.0028)
## tau (square root of estimated tau^2 value): 0.0803
## I^2 (residual heterogeneity / unaccounted variability): 93.14%
## H^2 (unaccounted variability / sampling variability): 14.58
## R^2 (amount of heterogeneity accounted for): 10.27%
##
## Test for Residual Heterogeneity:
## QE(df = 21) = 110.1423, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 4.9024, p-val = 0.0268
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.1035 0.0315 -3.2840 0.0010 -0.1653 -0.0417 **
## Lit_Lig_Nit_ratio 0.0027 0.0012 2.2141 0.0268 0.0003 0.0051 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.6.6 Litter C
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.
## Warning: Studies with NAs omitted from model fitting.##
## Mixed-Effects Model (k = 419; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 116.2424 -232.4849 -226.4849 -214.3856 -226.4268
##
## tau^2 (estimated amount of residual heterogeneity): 0.0077 (SE = 0.0010)
## tau (square root of estimated tau^2 value): 0.0880
## I^2 (residual heterogeneity / unaccounted variability): 99.68%
## H^2 (unaccounted variability / sampling variability): 316.44
## R^2 (amount of heterogeneity accounted for): 2.77%
##
## Test for Residual Heterogeneity:
## QE(df = 417) = 862100.1383, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 5.4016, p-val = 0.0201
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.1170 0.0726 1.6117 0.1070 -0.0253 0.2593
## Lit_Car -0.0035 0.0015 -2.3241 0.0201 -0.0065 -0.0005 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 85; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 15.3098 -30.6196 -24.6196 -17.3631 -24.3158
##
## tau^2 (estimated amount of residual heterogeneity): 0.0329 (SE = 0.0068)
## tau (square root of estimated tau^2 value): 0.1814
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 576378.03
## R^2 (amount of heterogeneity accounted for): 55.47%
##
## Test for Residual Heterogeneity:
## QE(df = 83) = 17138156.1186, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 89.0939, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 1.9853 0.2077 9.5607 <.0001 1.5783 2.3923 ***
## Lit_Car -0.0431 0.0046 -9.4390 <.0001 -0.0521 -0.0342 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 90; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 51.3304 -102.6608 -96.6608 -89.2288 -96.3751
##
## tau^2 (estimated amount of residual heterogeneity): 0.0130 (SE = 0.0023)
## tau (square root of estimated tau^2 value): 0.1138
## I^2 (residual heterogeneity / unaccounted variability): 99.68%
## H^2 (unaccounted variability / sampling variability): 314.22
## R^2 (amount of heterogeneity accounted for): 14.73%
##
## Test for Residual Heterogeneity:
## QE(df = 88) = 1724.8868, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 11.5258, p-val = 0.0007
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.8057 0.2345 3.4363 0.0006 0.3462 1.2653 ***
## Lit_Car -0.0157 0.0046 -3.3950 0.0007 -0.0247 -0.0066 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 414; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 74.1078 -148.2155 -142.2155 -130.1525 -142.1567
##
## tau^2 (estimated amount of residual heterogeneity): 0.0127 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.1129
## I^2 (residual heterogeneity / unaccounted variability): 99.72%
## H^2 (unaccounted variability / sampling variability): 354.97
## R^2 (amount of heterogeneity accounted for): 1.34%
##
## Test for Residual Heterogeneity:
## QE(df = 412) = 69575.2810, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 6.3323, p-val = 0.0119
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.2363 0.1062 2.2260 0.0260 0.0282 0.4444 *
## Lit_Car -0.0055 0.0022 -2.5164 0.0119 -0.0097 -0.0012 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 55; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 25.9181 -51.8362 -45.8362 -39.9253 -45.3464
##
## tau^2 (estimated amount of residual heterogeneity): 0.0181 (SE = 0.0040)
## tau (square root of estimated tau^2 value): 0.1346
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 495698.39
## R^2 (amount of heterogeneity accounted for): 77.89%
##
## Test for Residual Heterogeneity:
## QE(df = 53) = 16261617.4270, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 176.5840, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 2.5170 0.1829 13.7618 <.0001 2.1585 2.8755 ***
## Lit_Car -0.0554 0.0042 -13.2885 <.0001 -0.0635 -0.0472 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 100; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 67.9542 -135.9084 -129.9084 -122.1535 -129.6531
##
## tau^2 (estimated amount of residual heterogeneity): 0.0059 (SE = 0.0014)
## tau (square root of estimated tau^2 value): 0.0765
## I^2 (residual heterogeneity / unaccounted variability): 99.42%
## H^2 (unaccounted variability / sampling variability): 172.47
## R^2 (amount of heterogeneity accounted for): 0.62%
##
## Test for Residual Heterogeneity:
## QE(df = 98) = 1462.1177, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.5896, p-val = 0.4426
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.1719 0.1493 -1.1510 0.2497 -0.4645 0.1208
## Lit_Car 0.0023 0.0029 0.7679 0.4426 -0.0035 0.0080
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 25; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 18.7636 -37.5273 -31.5273 -28.1208 -30.2641
##
## tau^2 (estimated amount of residual heterogeneity): 0.0041 (SE = 0.0017)
## tau (square root of estimated tau^2 value): 0.0639
## I^2 (residual heterogeneity / unaccounted variability): 99.05%
## H^2 (unaccounted variability / sampling variability): 105.39
## R^2 (amount of heterogeneity accounted for): 19.75%
##
## Test for Residual Heterogeneity:
## QE(df = 23) = 100.1380, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 6.8009, p-val = 0.0091
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.3169 0.1071 -2.9590 0.0031 -0.5268 -0.1070 **
## Lit_Car 0.0062 0.0024 2.6078 0.0091 0.0015 0.0108 **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.6.7 Fauna available
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Mixed-Effects Model (k = 504; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 189.6193 -379.2387 -373.2387 -360.5829 -373.1905
##
## tau^2 (estimated amount of residual heterogeneity): 0.0072 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0850
## I^2 (residual heterogeneity / unaccounted variability): 99.63%
## H^2 (unaccounted variability / sampling variability): 271.78
## R^2 (amount of heterogeneity accounted for): 6.85%
##
## Test for Residual Heterogeneity:
## QE(df = 502) = 859121.4604, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 8.6998, p-val = 0.0032
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0261 0.0064 -4.0790 <.0001 -0.0386 -0.0136
## Fauna_availablepresent -0.0369 0.0125 -2.9495 0.0032 -0.0615 -0.0124
##
## intrcpt ***
## Fauna_availablepresent **
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 243; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 6.4286 -12.8573 -6.8573 3.5971 -6.7560
##
## tau^2 (estimated amount of residual heterogeneity): 0.0276 (SE = 0.0038)
## tau (square root of estimated tau^2 value): 0.1661
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 186500.48
## R^2 (amount of heterogeneity accounted for): 29.57%
##
## Test for Residual Heterogeneity:
## QE(df = 241) = 32902277.2758, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 70.5189, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0540 0.0170 -3.1824 0.0015 -0.0873 -0.0207
## Fauna_availablepresent 0.2555 0.0304 8.3976 <.0001 0.1959 0.3152
##
## intrcpt **
## Fauna_availablepresent ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 120; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -1.0309 2.0619 8.0619 16.3739 8.2724
##
## tau^2 (estimated amount of residual heterogeneity): 0.0345 (SE = 0.0050)
## tau (square root of estimated tau^2 value): 0.1858
## I^2 (residual heterogeneity / unaccounted variability): 99.83%
## H^2 (unaccounted variability / sampling variability): 584.36
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 118) = 9024.2625, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.0002, p-val = 0.9880
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0530 0.0397 1.3341 0.1822 -0.0248 0.1307
## Fauna_availablepresent -0.0007 0.0447 -0.0151 0.9880 -0.0882 0.0869
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 594; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 75.6281 -151.2562 -145.2562 -132.1057 -145.2154
##
## tau^2 (estimated amount of residual heterogeneity): 0.0159 (SE = 0.0014)
## tau (square root of estimated tau^2 value): 0.1262
## I^2 (residual heterogeneity / unaccounted variability): 99.78%
## H^2 (unaccounted variability / sampling variability): 460.37
## R^2 (amount of heterogeneity accounted for): 1.45%
##
## Test for Residual Heterogeneity:
## QE(df = 592) = 601865.7519, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 15.8583, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0322 0.0093 -3.4529 0.0006 -0.0505 -0.0139
## Fauna_availablepresent 0.0567 0.0142 3.9822 <.0001 0.0288 0.0846
##
## intrcpt ***
## Fauna_availablepresent ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 61; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 26.7722 -53.5444 -47.5444 -41.3118 -47.1080
##
## tau^2 (estimated amount of residual heterogeneity): 0.0160 (SE = 0.0033)
## tau (square root of estimated tau^2 value): 0.1263
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 437893.10
## R^2 (amount of heterogeneity accounted for): 78.35%
##
## Test for Residual Heterogeneity:
## QE(df = 59) = 30225883.9306, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 189.3867, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0408 0.0200 -2.0363 0.0417 -0.0800 -0.0015
## Fauna_availablepresent 0.5565 0.0404 13.7618 <.0001 0.4772 0.6358
##
## intrcpt *
## Fauna_availablepresent ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 156; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 68.5553 -137.1107 -131.1107 -121.9998 -130.9507
##
## tau^2 (estimated amount of residual heterogeneity): 0.0038 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0618
## I^2 (residual heterogeneity / unaccounted variability): 99.18%
## H^2 (unaccounted variability / sampling variability): 121.25
## R^2 (amount of heterogeneity accounted for): 1.62%
##
## Test for Residual Heterogeneity:
## QE(df = 154) = 4308.7670, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.6740, p-val = 0.4117
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0597 0.0113 -5.2700 <.0001 -0.0819 -0.0375
## Fauna_availablepresent 0.0129 0.0157 0.8209 0.4117 -0.0179 0.0437
##
## intrcpt ***
## Fauna_availablepresent
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 56; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 38.8797 -77.7594 -71.7594 -65.7925 -71.2794
##
## tau^2 (estimated amount of residual heterogeneity): 0.0079 (SE = 0.0019)
## tau (square root of estimated tau^2 value): 0.0891
## I^2 (residual heterogeneity / unaccounted variability): 95.35%
## H^2 (unaccounted variability / sampling variability): 21.49
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 54) = 390.4117, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.5932, p-val = 0.4412
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0277 0.0144 1.9149 0.0555 -0.0007 0.0560 .
## Fauna_availablepresent -0.0304 0.0394 -0.7702 0.4412 -0.1077 0.0469
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.6.8 Species diversity/richness
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Mixed-Effects Model (k = 504; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 188.7237 -377.4474 -371.4474 -358.7916 -371.3992
##
## tau^2 (estimated amount of residual heterogeneity): 0.0075 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0866
## I^2 (residual heterogeneity / unaccounted variability): 99.66%
## H^2 (unaccounted variability / sampling variability): 295.86
## R^2 (amount of heterogeneity accounted for): 3.34%
##
## Test for Residual Heterogeneity:
## QE(df = 502) = 880647.5135, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 5.6975, p-val = 0.0170
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0024 0.0169 0.1408 0.8880 -0.0308 0.0356
## sp_div_in_mixture -0.0160 0.0067 -2.3869 0.0170 -0.0291 -0.0029 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 243; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -22.4586 44.9172 50.9172 61.3716 51.0185
##
## tau^2 (estimated amount of residual heterogeneity): 0.0392 (SE = 0.0051)
## tau (square root of estimated tau^2 value): 0.1980
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 236208.64
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 241) = 33740528.1481, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 1.5984, p-val = 0.2061
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0618 0.0373 1.6558 0.0978 -0.0113 0.1349 .
## sp_div_in_mixture -0.0145 0.0115 -1.2643 0.2061 -0.0371 0.0080
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 120; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -0.9453 1.8907 7.8907 16.2027 8.1012
##
## tau^2 (estimated amount of residual heterogeneity): 0.0346 (SE = 0.0050)
## tau (square root of estimated tau^2 value): 0.1859
## I^2 (residual heterogeneity / unaccounted variability): 99.85%
## H^2 (unaccounted variability / sampling variability): 677.00
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 118) = 9118.3145, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.1642, p-val = 0.6853
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0752 0.0591 1.2727 0.2031 -0.0406 0.1911
## sp_div_in_mixture -0.0091 0.0225 -0.4052 0.6853 -0.0532 0.0350
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 594; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 68.3309 -136.6617 -130.6617 -117.5112 -130.6209
##
## tau^2 (estimated amount of residual heterogeneity): 0.0162 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.1273
## I^2 (residual heterogeneity / unaccounted variability): 99.79%
## H^2 (unaccounted variability / sampling variability): 474.92
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 592) = 582974.3991, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.7057, p-val = 0.4009
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0052 0.0172 0.3025 0.7623 -0.0285 0.0389
## sp_div_in_mixture -0.0050 0.0059 -0.8400 0.4009 -0.0165 0.0066
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 61; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## -2.8545 5.7090 11.7090 17.9416 12.1453
##
## tau^2 (estimated amount of residual heterogeneity): 0.0595 (SE = 0.0116)
## tau (square root of estimated tau^2 value): 0.2438
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 1451925.95
## R^2 (amount of heterogeneity accounted for): 19.34%
##
## Test for Residual Heterogeneity:
## QE(df = 59) = 29922941.6158, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 14.9462, p-val = 0.0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.5721 0.1732 -3.3036 0.0010 -0.9115 -0.2327 ***
## sp_div_in_mixture 0.3049 0.0789 3.8660 0.0001 0.1503 0.4595 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 156; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 70.3130 -140.6260 -134.6260 -125.5151 -134.4660
##
## tau^2 (estimated amount of residual heterogeneity): 0.0036 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0600
## I^2 (residual heterogeneity / unaccounted variability): 99.10%
## H^2 (unaccounted variability / sampling variability): 110.91
## R^2 (amount of heterogeneity accounted for): 7.04%
##
## Test for Residual Heterogeneity:
## QE(df = 154) = 7129.7767, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 4.5387, p-val = 0.0331
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0075 0.0292 0.2566 0.7975 -0.0498 0.0648
## sp_div_in_mixture -0.0234 0.0110 -2.1304 0.0331 -0.0450 -0.0019 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 56; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 38.7648 -77.5297 -71.5297 -65.5627 -71.0497
##
## tau^2 (estimated amount of residual heterogeneity): 0.0080 (SE = 0.0019)
## tau (square root of estimated tau^2 value): 0.0892
## I^2 (residual heterogeneity / unaccounted variability): 95.44%
## H^2 (unaccounted variability / sampling variability): 21.93
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 54) = 388.5222, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.3744, p-val = 0.5406
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0706 0.0781 0.9046 0.3657 -0.0824 0.2236
## sp_div_in_mixture -0.0216 0.0353 -0.6119 0.5406 -0.0909 0.0476
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.6.9 Incubation period (time in days)
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Mixed-Effects Model (k = 504; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 185.8243 -371.6486 -365.6486 -352.9928 -365.6004
##
## tau^2 (estimated amount of residual heterogeneity): 0.0078 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0884
## I^2 (residual heterogeneity / unaccounted variability): 99.48%
## H^2 (unaccounted variability / sampling variability): 193.84
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 502) = 288819.5777, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.4916, p-val = 0.4832
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0429 0.0115 -3.7257 0.0002 -0.0655 -0.0203 ***
## Time_Days 0.0000 0.0000 0.7011 0.4832 -0.0000 0.0001
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 243; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 16.5508 -33.1016 -27.1016 -16.6472 -27.0004
##
## tau^2 (estimated amount of residual heterogeneity): 0.0216 (SE = 0.0031)
## tau (square root of estimated tau^2 value): 0.1470
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 145808.23
## R^2 (amount of heterogeneity accounted for): 44.78%
##
## Test for Residual Heterogeneity:
## QE(df = 241) = 30805048.7124, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 112.3456, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0987 0.0177 -5.5768 <.0001 -0.1334 -0.0640 ***
## Time_Days 0.0005 0.0000 10.5993 <.0001 0.0004 0.0005 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 120; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 18.0443 -36.0885 -30.0885 -21.7764 -29.8780
##
## tau^2 (estimated amount of residual heterogeneity): 0.0232 (SE = 0.0035)
## tau (square root of estimated tau^2 value): 0.1523
## I^2 (residual heterogeneity / unaccounted variability): 99.80%
## H^2 (unaccounted variability / sampling variability): 488.50
## R^2 (amount of heterogeneity accounted for): 31.83%
##
## Test for Residual Heterogeneity:
## QE(df = 118) = 9247.7426, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 43.8826, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.1891 0.0260 7.2729 <.0001 0.1382 0.2401 ***
## Time_Days -0.0004 0.0001 -6.6244 <.0001 -0.0005 -0.0003 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 594; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 77.2044 -154.4087 -148.4087 -135.2582 -148.3679
##
## tau^2 (estimated amount of residual heterogeneity): 0.0149 (SE = 0.0014)
## tau (square root of estimated tau^2 value): 0.1220
## I^2 (residual heterogeneity / unaccounted variability): 99.77%
## H^2 (unaccounted variability / sampling variability): 436.15
## R^2 (amount of heterogeneity accounted for): 7.80%
##
## Test for Residual Heterogeneity:
## QE(df = 592) = 205236.7209, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 19.8295, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0300 0.0109 2.7555 0.0059 0.0087 0.0514 **
## Time_Days -0.0001 0.0000 -4.4530 <.0001 -0.0002 -0.0001 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 61; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 11.1481 -22.2962 -16.2962 -10.0636 -15.8598
##
## tau^2 (estimated amount of residual heterogeneity): 0.0351 (SE = 0.0070)
## tau (square root of estimated tau^2 value): 0.1872
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 961838.41
## R^2 (amount of heterogeneity accounted for): 52.45%
##
## Test for Residual Heterogeneity:
## QE(df = 59) = 30258073.4907, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 62.3174, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.2519 0.0499 -5.0481 <.0001 -0.3497 -0.1541 ***
## Time_Days 0.0006 0.0001 7.8941 <.0001 0.0004 0.0007 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 156; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 69.7735 -139.5469 -133.5469 -124.4361 -133.3869
##
## tau^2 (estimated amount of residual heterogeneity): 0.0037 (SE = 0.0008)
## tau (square root of estimated tau^2 value): 0.0606
## I^2 (residual heterogeneity / unaccounted variability): 99.09%
## H^2 (unaccounted variability / sampling variability): 110.34
## R^2 (amount of heterogeneity accounted for): 5.41%
##
## Test for Residual Heterogeneity:
## QE(df = 154) = 3094.0257, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 2.3903, p-val = 0.1221
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0902 0.0255 -3.5417 0.0004 -0.1401 -0.0403 ***
## Time_Days 0.0001 0.0000 1.5461 0.1221 -0.0000 0.0001
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 56; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 45.5192 -91.0384 -85.0384 -79.0715 -84.5584
##
## tau^2 (estimated amount of residual heterogeneity): 0.0062 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.0788
## I^2 (residual heterogeneity / unaccounted variability): 97.84%
## H^2 (unaccounted variability / sampling variability): 46.26
## R^2 (amount of heterogeneity accounted for): 21.41%
##
## Test for Residual Heterogeneity:
## QE(df = 54) = 368.4351, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 14.8152, p-val = 0.0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0741 0.0284 -2.6086 0.0091 -0.1298 -0.0184 **
## Time_Days 0.0002 0.0001 3.8491 0.0001 0.0001 0.0004 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.7 Metaregression for the whole data set
2.6.7.1 Metaregression for one parameter at a time for the total observations
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.2.6.7.2 Check summaries
##
## Mixed-Effects Model (k = 584; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 4.8067 -9.6133 -3.6133 9.4861 -3.5718
##
## tau^2 (estimated amount of residual heterogeneity): 0.0293 (SE = 0.0022)
## tau (square root of estimated tau^2 value): 0.1711
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 83410.79
## R^2 (amount of heterogeneity accounted for): 0.16%
##
## Test for Residual Heterogeneity:
## QE(df = 582) = 39369335.3851, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 2.7077, p-val = 0.0999
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0330 0.0232 1.4199 0.1556 -0.0126 0.0786
## Lit_Car_Nit_ratio -0.0007 0.0004 -1.6455 0.0999 -0.0016 0.0001 .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 562; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 22.2121 -44.4242 -38.4242 -25.4404 -38.3810
##
## tau^2 (estimated amount of residual heterogeneity): 0.0248 (SE = 0.0021)
## tau (square root of estimated tau^2 value): 0.1574
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 67007.88
## R^2 (amount of heterogeneity accounted for): 1.00%
##
## Test for Residual Heterogeneity:
## QE(df = 560) = 32007403.9096, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 4.4249, p-val = 0.0354
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0071 0.0099 0.7180 0.4728 -0.0123 0.0265
## Lit_Pho -0.0692 0.0329 -2.1036 0.0354 -0.1336 -0.0047 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 765; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 75.6678 -151.3357 -145.3357 -131.4239 -145.3041
##
## tau^2 (estimated amount of residual heterogeneity): 0.0237 (SE = 0.0017)
## tau (square root of estimated tau^2 value): 0.1541
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 48616.21
## R^2 (amount of heterogeneity accounted for): 0.26%
##
## Test for Residual Heterogeneity:
## QE(df = 763) = 45816487.1907, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 2.1810, p-val = 0.1397
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0165 0.0205 0.8024 0.4223 -0.0238 0.0567
## Lit_Nit -0.0244 0.0165 -1.4768 0.1397 -0.0569 0.0080
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 284; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 88.4773 -176.9546 -170.9546 -160.0288 -170.8682
##
## tau^2 (estimated amount of residual heterogeneity): 0.0282 (SE = 0.0027)
## tau (square root of estimated tau^2 value): 0.1679
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 165633.18
## R^2 (amount of heterogeneity accounted for): 1.11%
##
## Test for Residual Heterogeneity:
## QE(df = 282) = 47585021.1923, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 4.0024, p-val = 0.0454
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0008 0.0123 -0.0688 0.9452 -0.0251 0.0234
## Lit_Lig -0.0003 0.0001 -2.0006 0.0454 -0.0005 -0.0000 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 234; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 60.9550 -121.9101 -115.9101 -105.5699 -115.8048
##
## tau^2 (estimated amount of residual heterogeneity): 0.0318 (SE = 0.0032)
## tau (square root of estimated tau^2 value): 0.1783
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 211240.73
## R^2 (amount of heterogeneity accounted for): 0.44%
##
## Test for Residual Heterogeneity:
## QE(df = 232) = 39918876.4898, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.8348, p-val = 0.3609
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0103 0.0225 -0.4595 0.6459 -0.0543 0.0337
## Lit_Lig_Nit_ratio -0.0006 0.0006 -0.9137 0.3609 -0.0017 0.0006
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 594; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 92.6895 -185.3791 -179.3791 -166.2286 -179.3383
##
## tau^2 (estimated amount of residual heterogeneity): 0.0208 (SE = 0.0017)
## tau (square root of estimated tau^2 value): 0.1444
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 54443.10
## R^2 (amount of heterogeneity accounted for): 14.51%
##
## Test for Residual Heterogeneity:
## QE(df = 592) = 19547885.2672, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 60.0729, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.5858 0.0790 7.4136 <.0001 0.4309 0.7406 ***
## Lit_Car -0.0126 0.0016 -7.7507 <.0001 -0.0158 -0.0094 ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 867; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 82.7529 -165.5058 -159.5058 -145.2177 -159.4780
##
## tau^2 (estimated amount of residual heterogeneity): 0.0225 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.1499
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 38956.04
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 865) = 54887327.5170, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.9330, p-val = 0.3341
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0090 0.0169 0.5330 0.5941 -0.0241 0.0422
## sp_div_in_mixture -0.0060 0.0062 -0.9659 0.3341 -0.0180 0.0061
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 867; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 96.6898 -193.3795 -187.3795 -173.0914 -187.3517
##
## tau^2 (estimated amount of residual heterogeneity): 0.0217 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.1471
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 41815.82
## R^2 (amount of heterogeneity accounted for): 3.54%
##
## Test for Residual Heterogeneity:
## QE(df = 865) = 49387190.2228, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 29.6734, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0333 0.0081 -4.1089 <.0001 -0.0492 -0.0174
## Fauna_availablepresent 0.0710 0.0130 5.4473 <.0001 0.0455 0.0966
##
## intrcpt ***
## Fauna_availablepresent ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 867; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 99.8485 -199.6970 -191.6970 -172.6507 -191.6504
##
## tau^2 (estimated amount of residual heterogeneity): 0.0210 (SE = 0.0014)
## tau (square root of estimated tau^2 value): 0.1450
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 40301.53
## R^2 (amount of heterogeneity accounted for): 6.31%
##
## Test for Residual Heterogeneity:
## QE(df = 864) = 36878206.4800, p-val < .0001
##
## Test of Moderators (coefficients 2:3):
## QM(df = 2) = 38.3201, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0309 0.0127 2.4291 0.0151 0.0060 0.0558
## climatic_regionTemperate -0.0699 0.0152 -4.6019 <.0001 -0.0997 -0.0401
## climatic_regionTropics 0.0177 0.0193 0.9148 0.3603 -0.0202 0.0555
##
## intrcpt *
## climatic_regionTemperate ***
## climatic_regionTropics
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 867; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 82.9356 -165.8712 -157.8712 -138.8249 -157.8247
##
## tau^2 (estimated amount of residual heterogeneity): 0.0224 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.1496
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 42966.75
## R^2 (amount of heterogeneity accounted for): 0.30%
##
## Test for Residual Heterogeneity:
## QE(df = 864) = 35408203.1558, p-val < .0001
##
## Test of Moderators (coefficients 2:3):
## QM(df = 2) = 3.4573, p-val = 0.1775
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.0194 0.0167 1.1602 0.2459 -0.0134 0.0522
## precipitation_levelslow -0.0251 0.0190 -1.3257 0.1849 -0.0623 0.0120
## precipitation_levelsmedium -0.0374 0.0201 -1.8586 0.0631 -0.0769 0.0020
##
## intrcpt
## precipitation_levelslow
## precipitation_levelsmedium .
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 867; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 83.9994 -167.9987 -161.9987 -147.7105 -161.9709
##
## tau^2 (estimated amount of residual heterogeneity): 0.0223 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.1493
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 42808.77
## R^2 (amount of heterogeneity accounted for): 0.67%
##
## Test for Residual Heterogeneity:
## QE(df = 865) = 36081678.7318, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 3.9418, p-val = 0.0471
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0239 0.0111 -2.1614 0.0307 -0.0456 -0.0022 *
## Time_Days 0.0000 0.0000 1.9854 0.0471 0.0000 0.0001 *
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1##
## Mixed-Effects Model (k = 867; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 82.1944 -164.3888 -158.3888 -144.1007 -158.3610
##
## tau^2 (estimated amount of residual heterogeneity): 0.0225 (SE = 0.0015)
## tau (square root of estimated tau^2 value): 0.1501
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 43243.75
## R^2 (amount of heterogeneity accounted for): 0.00%
##
## Test for Residual Heterogeneity:
## QE(df = 865) = 35217228.4976, p-val < .0001
##
## Test of Moderators (coefficient 2):
## QM(df = 1) = 0.4756, p-val = 0.4904
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt -0.0134 0.0124 -1.0813 0.2796 -0.0377 0.0109
## Annual_precip 0.0000 0.0000 0.6897 0.4904 -0.0000 0.0000
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.8 Metaregression whole data all moderators together
Metaregression for all the moderators together include the ones that are not higly correlated
## Warning: Studies with NAs omitted from model fitting.## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## Mixed-Effects Model (k = 151; tau^2 estimator: REML)
##
## logLik deviance AIC BIC AICc
## 110.1429 -220.2857 -192.2857 -151.3042 -188.8711
##
## tau^2 (estimated amount of residual heterogeneity): 0.0080 (SE = 0.0012)
## tau (square root of estimated tau^2 value): 0.0896
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 36197.94
## R^2 (amount of heterogeneity accounted for): 80.91%
##
## Test for Residual Heterogeneity:
## QE(df = 138) = 8298124.0386, p-val < .0001
##
## Test of Moderators (coefficients 2:13):
## QM(df = 12) = 533.2457, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 1.1691 0.8785 1.3309 0.1832 -0.5526 2.8909
## Lit_Pho 0.2086 0.4611 0.4523 0.6510 -0.6952 1.1123
## Lit_Nit -0.4110 0.0630 -6.5218 <.0001 -0.5345 -0.2875
## Lit_Lig_Nit_ratio -0.0001 0.0015 -0.0555 0.9557 -0.0031 0.0029
## Time_Days 0.0001 0.0001 1.8203 0.0687 -0.0000 0.0002
## Lit_Car -0.0111 0.0046 -2.4126 0.0158 -0.0202 -0.0021
## sp_div_in_mixture -0.0130 0.0185 -0.7002 0.4838 -0.0492 0.0233
## Fauna_availablepresent 0.1447 0.0513 2.8194 0.0048 0.0441 0.2453
## climatic_regionTemperate -0.3252 0.0704 -4.6165 <.0001 -0.4633 -0.1871
## climatic_regionTropics -0.4205 0.0675 -6.2314 <.0001 -0.5527 -0.2882
## precipitation_levelslow 0.0905 0.7312 0.1237 0.9015 -1.3427 1.5236
## precipitation_levelsmedium 0.1832 0.7369 0.2486 0.8037 -1.2611 1.6274
## Lit_Car_Nit_ratio -0.0023 0.0017 -1.3380 0.1809 -0.0057 0.0011
##
## intrcpt
## Lit_Pho
## Lit_Nit ***
## Lit_Lig_Nit_ratio
## Time_Days .
## Lit_Car *
## sp_div_in_mixture
## Fauna_availablepresent **
## climatic_regionTemperate ***
## climatic_regionTropics ***
## precipitation_levelslow
## precipitation_levelsmedium
## Lit_Car_Nit_ratio
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.8.1 Best model that fits our data
We should incorporate moderators that are highly correlated. Thus, we need to run correlation test.
2.6.8.1.1 Check for correlations between some variables within the data.
## `geom_smooth()` using formula 'y ~ x'## Warning: Removed 379 rows containing non-finite values (stat_smooth).## Warning: Removed 379 rows containing non-finite values (stat_cor).## Warning: Removed 379 rows containing missing values (geom_point).
##
## Pearson's product-moment correlation
##
## data: litmeta$Lit_Car and litmeta$Lit_Car_Nit_ratio
## t = 7.9135, df = 486, p-value = 1.706e-14
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.2567917 0.4141958
## sample estimates:
## cor
## 0.337854## `geom_smooth()` using formula 'y ~ x'## Warning: Removed 298 rows containing non-finite values (stat_smooth).## Warning: Removed 298 rows containing non-finite values (stat_cor).## Warning: Removed 298 rows containing missing values (geom_point).
##
## Pearson's product-moment correlation
##
## data: litmeta$Lit_Nit and litmeta$Lit_Car_Nit_ratio
## t = -29.301, df = 567, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.8067870 -0.7411334
## sample estimates:
## cor
## -0.77605422.6.8.2 Conduct model selection using glmulti
## Loading required package: leapsDefine a function that takes a model formula and a dataset as input and then fits a random or mixed-effects meta-regression model to the given data using maximum likelihood estimation:
Here we ensure that we only keep rows with no missing data from all predictors used we used the metaregression results to choose the moderators to use in glmulti. moderators that were not significant were dropped apart from precipitation_levels since its part of our 2nd hypothesis.
## [1] 867 56## [1] 466 56## Initialization...
## TASK: Exhaustive screening of candidate set.
## Fitting...## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.##
## After 50 models:
## Best model: yi~1+Fauna_available+Lit_Car+Lit_Pho+Time_Days+sp_div_in_mixture
## Crit= -122.953637663603
## Mean crit= -54.2749342612702## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
##
## After 100 models:
## Best model: yi~1+Fauna_available+precipitation_levels+Lit_Car+Lit_Pho+Time_Days
## Crit= -156.353640292807
## Mean crit= -67.8887311541515## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
## Warning: Ratio of largest to smallest sampling variance extremely large. May not
## be able to obtain stable results.
##
## After 150 models:
## Best model: yi~1+Fauna_available+climatic_region+precipitation_levels+Lit_Car+Lit_Pho+Time_Days
## Crit= -169.07409277618
## Mean crit= -94.0440951685833
## Completed.2.6.8.2.1 Brief summary of the results
## glmulti.analysis
## Method: h / Fitting: rma.glmulti / IC used: aicc
## Level: 1 / Marginality: FALSE
## From 100 models:
## Best IC: -169.07409277618
## Best model:
## [1] "yi ~ 1 + Fauna_available + climatic_region + precipitation_levels + "
## [2] " Lit_Car + Lit_Pho + Time_Days"
## Evidence weight: 0.67802489142905
## Worst IC: -41.142934082675
## 2 models within 2 IC units.
## 1 models to reach 95% of evidence weight.2.6.8.2.2 Plot of the AICc values for all 512 models
2.6.8.2.3 Looking at the top 10 models
## model
## 1 yi ~ 1 + Fauna_available + climatic_region + precipitation_levels + Lit_Car + Lit_Pho + Time_Days
## 2 yi ~ 1 + Fauna_available + climatic_region + precipitation_levels + Lit_Car + Lit_Pho + Time_Days + sp_div_in_mixture
## aicc weights
## 1 -169.0741 0.6780249
## 2 -167.5639 0.31864962.6.8.2.4 Examine the best model
##
## Mixed-Effects Model (k = 466; tau^2 estimator: ML)
##
## logLik deviance AIC BIC AICc
## 94.7788 1244.6535 -169.5576 -128.1158 -169.0741
##
## tau^2 (estimated amount of residual heterogeneity): 0.0134 (SE = 0.0014)
## tau (square root of estimated tau^2 value): 0.1156
## I^2 (residual heterogeneity / unaccounted variability): 100.00%
## H^2 (unaccounted variability / sampling variability): 36850.95
## R^2 (amount of heterogeneity accounted for): 52.12%
##
## Test for Residual Heterogeneity:
## QE(df = 457) = 13986255.4151, p-val < .0001
##
## Test of Moderators (coefficients 2:9):
## QM(df = 8) = 276.4170, p-val < .0001
##
## Model Results:
##
## estimate se zval pval ci.lb ci.ub
## intrcpt 0.7805 0.0895 8.7218 <.0001 0.6051 0.9558
## Fauna_availablepresent 0.0914 0.0205 4.4546 <.0001 0.0512 0.1317
## climatic_regionTemperate -0.0718 0.0243 -2.9596 0.0031 -0.1193 -0.0242
## climatic_regionTropics -0.1395 0.0352 -3.9644 <.0001 -0.2084 -0.0705
## precipitation_levelslow -0.2272 0.0402 -5.6473 <.0001 -0.3061 -0.1484
## precipitation_levelsmedium -0.2420 0.0333 -7.2670 <.0001 -0.3073 -0.1767
## Lit_Car -0.0129 0.0020 -6.3824 <.0001 -0.0169 -0.0090
## Lit_Pho -0.1130 0.0285 -3.9600 <.0001 -0.1689 -0.0571
## Time_Days 0.0002 0.0000 7.8360 <.0001 0.0002 0.0003
##
## intrcpt ***
## Fauna_availablepresent ***
## climatic_regionTemperate **
## climatic_regionTropics ***
## precipitation_levelslow ***
## precipitation_levelsmedium ***
## Lit_Car ***
## Lit_Pho ***
## Time_Days ***
##
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12.6.8.2.5 Obtain a plot of the relative importance of the various model terms with the code below
2.6.8.2.6 Carry out the computations for multimodel inference
## Estimate Uncond. variance Nb models Importance
## sp_div_in_mixture 0.0024225613 2.713520e-05 48 0.3198103
## climatic_regionTemperate -0.0710959208 5.950538e-04 54 0.9981829
## climatic_regionTropics -0.1390976055 1.251319e-03 54 0.9981829
## Lit_Pho -0.1125713832 8.209233e-04 50 0.9986573
## Fauna_availablepresent 0.0912677876 4.227436e-04 58 0.9998273
## Lit_Car -0.0129873148 4.146950e-06 64 1.0000000
## precipitation_levelslow -0.2258356843 1.636073e-03 58 1.0000000
## precipitation_levelsmedium -0.2402182521 1.133454e-03 58 1.0000000
## Time_Days 0.0002441243 9.777843e-10 54 1.0000000
## intrcpt 0.7757352723 8.193248e-03 100 1.0000000
## +/- (alpha=0.05)
## sp_div_in_mixture 1.020974e-02
## climatic_regionTemperate 4.781082e-02
## climatic_regionTropics 6.933174e-02
## Lit_Pho 5.615642e-02
## Fauna_availablepresent 4.029829e-02
## Lit_Car 3.991283e-03
## precipitation_levelslow 7.927742e-02
## precipitation_levelsmedium 6.598574e-02
## Time_Days 6.128718e-05
## intrcpt 1.774092e-01## Estimate Std. Error z value Pr(>|z|) ci.lb ci.ub
## intrcpt 0.7757 0.0905 8.5701 0.0000 0.5983 0.9531
## Time_Days 0.0002 0.0000 7.8071 0.0000 0.0002 0.0003
## precipitation_levelslow -0.2258 0.0404 -5.5833 0.0000 -0.3051 -0.1466
## precipitation_levelsmedium -0.2402 0.0337 -7.1352 0.0000 -0.3062 -0.1742
## Lit_Car -0.0130 0.0020 -6.3776 0.0000 -0.0170 -0.0090
## Fauna_availablepresent 0.0913 0.0206 4.4389 0.0000 0.0510 0.1316
## Lit_Pho -0.1126 0.0287 -3.9290 0.0001 -0.1687 -0.0564
## climatic_regionTemperate -0.0711 0.0244 -2.9145 0.0036 -0.1189 -0.0233
## climatic_regionTropics -0.1391 0.0354 -3.9322 0.0001 -0.2084 -0.0698
## sp_div_in_mixture 0.0024 0.0052 0.4651 0.6419 -0.0078 0.0126
## Importance
## intrcpt 1.0000
## Time_Days 1.0000
## precipitation_levelslow 1.0000
## precipitation_levelsmedium 1.0000
## Lit_Car 1.0000
## Fauna_availablepresent 0.9998
## Lit_Pho 0.9987
## climatic_regionTemperate 0.9982
## climatic_regionTropics 0.9982
## sp_div_in_mixture 0.31982.6.9 Remaing figures
Combine the plots into different panels for the manuscript using patchwork
2.6.9.1 Fig 4
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